Follow us on Twitter
twitter icon@FreshPatents


Machine Learning patents

      

This page is updated frequently with new Machine Learning-related patent applications.

SALE: 350+ Machine Learning-related patent PDFs



 Adaptive automatic email domain name correction patent thumbnailAdaptive automatic email domain name correction
A system and methods for correcting domain names in invalid email addresses are described herein. The method includes receiving email failure information including a bad domain name.
Lmp Software, Llc


 Network data processing driver for a cognitive artifical intelligence system patent thumbnailNetwork data processing driver for a cognitive artifical intelligence system
Techniques are disclosed for processing data collected from network components for analysis by a machine learning engine of a cognitive ai system. A network data processing driver receives a stream of data from a data collector which obtains data from one or more network data sources.

 System,  automatic categorization and assessment of billing narratives patent thumbnailSystem, automatic categorization and assessment of billing narratives
A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed.

 Machine learning device and machine learning  learning fault prediction of main shaft or motor which drives main shaft, and fault prediction device and fault prediction system including machine learning device patent thumbnailMachine learning device and machine learning learning fault prediction of main shaft or motor which drives main shaft, and fault prediction device and fault prediction system including machine learning device
A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.. .
Fanuc Corporation


 Techniques to respond to user requests using natural-language machine learning based on branching example conversations patent thumbnailTechniques to respond to user requests using natural-language machine learning based on branching example conversations
Techniques to response to respond to user requests using natural-language machine learning based on branching example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions, including one or more branching example user-to-bot interactions; and an interaction processing component operative to generate a linearized example-interaction repository by replacing the one or more branching example user-to-bot interactions with the plurality of linearized example user-to-bot interactions; submit the example-interaction repository to a natural-language machine learning component; and receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and a client communication component operative to perform a user-to-bot conversation based on the sequence model.
Facebook, Inc.


 Motor task analysis system and method patent thumbnailMotor task analysis system and method
Video processing for motor task analysis is described. In various examples, a video of a person carrying out a motor task, such as placing the forefinger on the nose, is input to a trained machine learning system to classify the motor task into one of a plurality of classes.
Novartis Ag


 Remote determination of containers in geographical region patent thumbnailRemote determination of containers in geographical region
Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution.
Orbital Insight, Inc.


 Optimizing similar item recommendations in a semi-structured environment patent thumbnailOptimizing similar item recommendations in a semi-structured environment
Systems, methods and media are provided for optimizing similar item recommendations in a semi-structured environment. In one embodiment a system includes at least one processor and a memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising, at least identifying a seed item; retrieving a subset of recommended items relevant to the seed item; and ranking the subset of recommended items based on an item conversion probability, wherein the ranking of the subset of recommended items is based on a machine learning technique, and wherein a binary or multi-class label is used as training input to the machine learning technique..
Ebay Inc.


 Techniques to respond to user requests using natural-language machine learning based on example conversations patent thumbnailTechniques to respond to user requests using natural-language machine learning based on example conversations
Techniques to response to user requests using natural-language machine learning based on example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions; and an interaction processing component operative to submit the example-interaction repository to a natural-language machine learning component; receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and perform a user-to-bot conversation based on the sequence model.
Facebook, Inc.


 Methods and systems for optimized selection of data features for a neuro-linguistic cognitive artifical intelligence system patent thumbnailMethods and systems for optimized selection of data features for a neuro-linguistic cognitive artifical intelligence system
Techniques are disclosed to optimize feature selection in generating betas for a feature dictionary of a neuro-linguistic cognitive ai system. A machine learning engine receives a sample vector of input data to be analyzed by the neuro-linguistic cognitive ai system.

Automatically optimizing analytics database server

A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications.
Ifwizard Corporation

Generating of 3d-printed custom wearables

Disclosed is a platform for generating and delivering 3-d printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable.
Wiivv Wearables Inc.

Control system with machine learning time-series modeling

An unsupervised machine learning model can make prediction on time series data. Variance of time-varying parameters for independent variables of the model may be restricted for continuous consecutive time intervals to minimize overfitting.
Accenture Global Solutions Limited

Video analytics device

A device may communicate with a group of devices to obtain data regarding a set of events occurring for the group of devices. The device may process the data regarding the set of events to remove a subset of data entries, from the data, that is associated with an anomalous event.
Accenture Global Solutions Limited

System for annotation of electronic messages with contextual information

A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message.
Mimecast North America, Inc.

Machine learning of electrical power system behavior, and related systems, apparatuses, and methods

The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system.
Demand Energy Networks, Inc.

Advertisement conversion prediction based on unlabeled data

Embodiments are disclosed for predicting target events occurrence for an advertisement campaign. A computing device according to some embodiments assigns a label to an advertisement as unlabeled, in response to a notification that a prerequisite event occurs for the advertisement.
Facebook, Inc.

Bulk dispute challenge system

In one example, a bulk dispute challenge system may select disputes to challenge from a bulk set of dispute events based on a probability of success and a return on investment. The bulk dispute challenge system may receive a dispute success model that calculates a predicted probability of success for disputes generated by applying a machine learning model to a training data set featuring multiple attributes describing data characteristics of disputed events.
Microsoft Technology Licensing, Llc

Systems and methods to develop training set of data based on resume corpus

Systems, methods, and non-transitory computer readable media are configured to acquire a resume corpus. The resume corpus is processed to generate resume tokens.
Facebook, Inc.

System and a requirement, compliance and resource management

A system and/or a method based on a scalable requirement, compliance and resource management methodology for designing a product/service, optimizing relevant processes and enhancing real time and/or near real time collaboration between many users is disclosed. Utilizing, a learning (self-learning) computer, a requirement, compliance and resource management methodology is further integrated with (a) a machine learning/fuzzy/neuro-fuzzy logic algorithm and/or (b) statistical algorithm and/or (c) weighting logic algorithm and/or (d) game theory algorithm and/or (e) a blockchain and enhanced with a graphical user interface..

Machine learning based procurement system using risk scores pertaining to bids, suppliers, prices, and items

A machine learning based procurement system comprises a machine learning classifier to classify bids. The procurement system determines a price risk score and a supplier risk score for each of the bids based on the classifications, and determines if any of the bids are associated with a high-risk procurement based on comparing the price risk score and the supplier risk score to the respective threshold.
Accenture Global Solutions Limited

Self-service classification system

Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as thomson reuters self-service classification™, employ part machine learning and part an user interactive approach to generate a customized classification model.

Merging feature subsets using graphical representation

A system, method and computer program product provides improved performance in machine learning, decision making and similar processes. In one example method, a plurality of individual subsets of features of a dataset comprising multiple features are received.
International Business Machines Corporation

Systems and methods to identify job titles for connections on a social networking system

Systems, methods, and non-transitory computer readable media are configured to determine scores regarding suitability of connections of a user for employment with an organization with which the user is employed based on a first machine learning model. Job titles for which the connections are suited are determined based on a second machine learning model.
Facebook, Inc.

Batching inputs to a machine learning model

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for batching inputs to machine learning models. One of the methods includes receiving a stream of requests, each request identifying a respective input for processing by a first machine learning model; adding the respective input from each request to a first queue of inputs for processing by the first machine learning model; determining, at a first time, that a count of inputs in the first queue as of the first time equals or exceeds a maximum batch size and, in response: generating a first batched input from the inputs in the queue as of the first time so that a count of inputs in the first batched input equals the maximum batch size, and providing the first batched input for processing by the first machine learning model..
Google Inc.

Structured machine learning framework

Disclosed is a computing device. The computing device can include a processor and a memory.

Selection of machine learning algorithms

Systems and methods of selecting machine learning models/algorithms for a candidate dataset are disclosed. A computer system may access historical data of a set of algorithms applied to a set of benchmark datasets; select a first algorithm of the set of algorithms; apply the first algorithm to an input dataset to create a model of the input dataset; evaluate and store results of the applying; and add the first algorithm to a set of tried algorithms.
Bigml, Inc.

Systems and methods for inferential sharing of photos

Techniques for separating shareable images from non-shareable images. In various implementations, image metadata and feature analysis may be used to evaluate the “shareability” of a photograph associated with a particular user.
Google Inc.

Systems and methods for identifying entities directly from imagery

Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images.
Google Inc.

System and optical character recognition

This disclosure relates to system and method for optical character recognition. In one embodiment, the method comprises providing an image data to a plurality of customized machine learning algorithms or various customized neural networks, configured to recognize a set of pre-defined characters.
Wipro Limited

Patient risk assessment based on machine learning of health risks of patient population

Mechanisms are provided for stratifying risk of a patient population. The mechanisms receive patient information for a plurality of patients in the patient population and perform a machine learning operation to train a risk scoring algorithm for scoring a risk of adverse conditions for the patient population using the patient information.
International Business Machines Corporation

Merging feature subsets using graphical representation

A system, method and computer program product provides improved performance in machine learning, decision making and similar processes. In one example method, a plurality of individual subsets of features of a dataset comprising multiple features are received.
International Business Machines Corporation

Machine learning device that performs learning using simulation result, machine system, manufacturing system, and machine learning method

A machine learning device that learns a control command for a machine by machine learning, including a machine learning unit that performs the machine learning to output the control command; a simulator that performs a simulation of a work operation of the machine based on the control command; and a first determination unit that determines the control command based on an execution result of the simulation by the simulator.. .
Fanuc Corporation

Rogue object detection algorithm for wireless charging notification

The disclosure generally relates to methods, system and apparatus to detect a rogue object placed on an a4wp charging pad (interchangeably, charging mat). In one embodiment, presence of a rogue object on a charging pad is detected by measuring currents and voltages from sensor circuits on ptu and apply machine learning algorithms to develop power leakage algorithm.
Intel Corporation

On-board structural load assessment of an aircraft during flight events

A system is provided for structural load assessment of an aircraft. An approximator may receive parameters related to a ground or flight event and calculate the resulting response load on the aircraft using a machine learning algorithm and a structural dynamics model of the aircraft.
The Boeing Company

Information based machine learning approach to elasticity imaging

Systems and methods are provided for employing informational models trained using the autoprogressive algorithm to learn the mechanical behavior of biological materials using a sparse sampling of force and displacement measurements. The constitutive matrix normally used to solve the inverse problem is replaced with anns..
The Board Of Trustees Of The University Of Illinois

Systems and methods of image processing to determine flow characteristics

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics..
Heartflow, Inc.

Cognitive radio achieving ad hoc interference multiple access wireless communication

An suoc radio employs: (1) spectrum sensing and parameter estimation methods to characterize potential fuocs; (2) a rate pair prediction tool to guide it's choice of fuoc to target along with the appropriate rate pair (suoc and fuoc achievable rates); (3) machine learning methods to automatically and on the fly advantage experience/history; (4) a decision maker with multiple possible procedures that govern steps of interaction; (5) multiuser detection receiver to deal with the interference once information-bearing transmission has commenced by the suoc radios. (6) a radio capable of full transmit-processing chain to accomplish modulation and full receive-processing chain to accomplish demodulation, as well as other radio functions necessary for successful wireless communications such as medium access control, networking and other functions..
Massachusetts Institute Of Technology

Visual representation of signal strength using machine learning models

Information about a signal device is received at a first location in a first physical environment. The signal device broadcasts a signal to a computing device.
International Business Machines Corporation

Network-based approach for training supervised learning classifiers

In one embodiment, a supervisory device in a network receives traffic data from a security device that uses traffic signatures to assess traffic in the network. The supervisory device receives traffic data from one or more distributed learning agents that use machine learning-based anomaly detection to assess traffic in the network.
Cisco Technology, Inc.

Distributed anomaly detection management

In one embodiment, a device in a network performs anomaly detection functions using a machine learning-based anomaly detector to detect anomalous traffic in the network. The device identifies an ability of one or more nodes in the network to perform at least one of the anomaly detection functions.
Cisco Technology, Inc.

Gathering flow characteristics for anomaly detection systems in presence of asymmetrical routing

In one embodiment, a first device in a network identifies a first traffic flow between two endpoints that traverses the first device in a first direction. The first device receives information from a second device in the network regarding a second traffic flow between the two endpoints that traverses the second device in a second direction that is opposite that of the first direction.
Cisco Technology, Inc.

Distributed feedback loops from threat intelligence feeds to distributed machine learning systems

In one embodiment, a device in a network receives anomaly data regarding an anomaly detected by a machine learning-based anomaly detection mechanism of a first node in the network. The device matches the anomaly data to threat intelligence feed data from one or more threat intelligence services.
Cisco Technology, Inc.

Adaptive capture of packet traces based on user feedback learning

In one embodiment, a node in a network detects an anomaly in the network based on a result of a machine learning-based anomaly detector analyzing network traffic. The node determines a packet capture policy for the anomaly by applying a machine learning-based classifier to the result of the anomaly detector.
Cisco Technology, Inc.

Edge-based machine learning for encoding legitimate scanning

In one embodiment, a device in a network receives an indication that a network anomaly detected by an anomaly detector of a first node in the network is associated with scanning activity in the network. The device receives labeled traffic data associated with the detected anomaly that identifies whether the traffic data is associated with legitimate or illegitimate scanning activity.
Cisco Technology, Inc.

Predictive network system and method

A proactive networking system and method is disclosed. The network anticipates the user demands in advance and utilizes this predictive ability to reduce the peak to average ratio of the wireless traffic and yield significant savings in the required resources to guarantee certain quality of service (qos) metrics.
University Of Southern California

Dynamic application degrouping to optimize machine learning model accuracy

In one embodiment, a device in a network identifies a plurality of applications from observed traffic in the network. The device forms two or more application clusters from the plurality of applications.
Cisco Technology, Inc.

Automatic finding and sharing of iot connected devices

Methods, computer program products, and systems are presented. Data characteristics describing data from iot devices are identified.
International Business Machines Corporation

Method and system for modeling image of interest to users

A system and method for modeling and distributing image data of interest to users is disclosed. Users on user devices such as mobile phones send request messages for image data captured by surveillance cameras of the system.
Sensormatic Electronics, Llc

Image and data capture and machine learning for automatic generation of search queries

Automatically capturing information and performing content searching may include extracting features from data content, for example, captured via an image capturing device or by another method. Features extracted from the data content are structured into an ontology graph representing keywords and contextual relationships.
International Business Machines Corporation

Location context inference based on user mobile data with uncertainty

Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data.
International Business Machines Corporation

Access communication subsystem with object/intelligent appliance-to-object/intelligent appliance interaction

An intelligent subsystem can connect with one or more objects or intelligent appliances, wherein the intelligent subscriber (access) subsystem includes a fuzzy logic algorithm or an artificial intelligence algorithm or a machine learning algorithm. The object at least includes a radio module and a sensor/bio-sensor module.

Dynamic recommendation of routing rules for contact center use

A machine learning system and method for contact center use. Activities associated with a plurality of contact centers are monitored and a knowledge base is updated based on the monitored activities.
Genesys Telecommunications Laboratories, Inc.

System and leveraging machine learning to deliver time-sensitive content over optimal devices and channels

Systems and methods are described for leveraging machine learning to deliver time-sensitive media content offers to a consumer over an optimal device and channel. In an implementation, a server system transmits media content offers over an optimal device and channel to a user.
Disney Enterprises, Inc.

Network security system with real-time and batch paths

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics.
Splunk Inc.

System and training object classifier by machine learning

A system and method for training a computer-implemented object classifier includes detecting a foreground visual object within a sub-region of a scene, determining a background model of the sub-region of the scene, the background model representing the sub-region when any foreground visual object is absent from that sub-region, and training the object classifier by computer-implemented machine learning using the background model of the sub-region as a negative training example.. .
Avigilon Corporation

Method and system for facilitating purchase of vehicles by buyers and/or sale of vehicles by sellers

A data platform may comprise a machine learning model indicative of a propensity of a buyer to buy a respective vehicle of a plurality of vehicles for sale. The data platform may execute the machine learning model on vehicle-related data for the plurality of vehicles to determine a propensity to buy score for a respective vehicle.
Carco Technologies, Inc.

Machine learning for fraud detection

System, method and media for detecting fraud in submissions of tax return data. machine learning techniques including cluster analysis and tree-based classifiers are used to analyze large volumes of previously submitted tax returns based on tax data and submission-related data to detect patterns in genuine and fraudulent returns.
Hrb Innovations, Inc.

Machine learning apparatus, laser machining system and machine learning method

A machine learning apparatus that learns laser machining condition data of a laser machining system includes: a state amount observation unit that observes a state amount of the laser machining system; an operation result acquisition unit that acquires a machined result of the laser machining system; a learning unit that receives an output from the state amount observation unit and an output from the operation result acquisition unit, and learns the laser machining condition data in association with the state amount and the machined result of the laser machining system; and a decision-making unit that outputs laser machining condition data by referring to the laser machining condition data learned by the learning unit.. .
Fanuc Corporation

Information processing apparatus, information processing system, information processing method, and computer-readable recording medium

An information processing apparatus according to the present application includes an acquisition unit and a generation unit. The acquisition unit acquires, when a user performs one of specific behaviors respectively having a plurality of types, information on a behavior of the user performed on a terminal device and information on context associated with the user.
Yahoo Japan Corporation

System modernization using machine learning

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for system modernization using machine learning are disclosed. In one aspect, a method includes the actions of generating training data.
Accenture Global Solutions Limited

Document analysis system that uses machine learning to predict subject matter evolution of document content

A method includes performing, by a processor: receiving a document containing subject matter related to a course of action, the document comprising a plurality of sub-documents that are related to one another in a time sequence, converting the document to a vector format to generate a vectorized document that encodes a probability distribution of words in the document and transition probabilities between words, applying a machine learning algorithm to the vectorized document to generate an estimated vectorized document, associating the estimated vectorized document with a reference document; predicting future subject matter contained in a future sub-document of the document based on the reference document, and adjusting the course of action responsive to predicting the future subject matter.. .
Ca, Inc.

Methods and systems for improved machine learning using supervised classification of imbalanced datasets with overlap

A method and system for data classification using machine learning comprises collecting a dataset with a data collection module, receiving the dataset at a classification module configured for machine learning, dividing the dataset into a plurality of vectors, transforming the plurality of vectors into a plurality of variables wherein each variable is assigned a label, and classifying the variables.. .
Xerox Corporation

Multi-view machine learning

In implementations of the subject matter described herein, a machine learning scheme is proposed. Features of historical inputs from a user as well as corresponding outputs presented to the user in response to the historical inputs are obtained, where the features are previously determined based on contexts of the historical inputs which indicate information related to the user.
Microsoft Technology Licensing, Llc

Method of estimating program speed-up in highly parallel architectures using static analysis

The amount of speed-up that can be obtained by optimizing the program to run on a different architecture is determined by static measurements of the program. Multiple such static measurements are processed by a machine learning system after being discretized to alter their accuracy vs precision.
Wisconsin Alumni Research Foundation

Neuromorphic training algorithm for a restricted boltzmann machine.

This invention solves the long-standing problem in machine learning of training a neural network on a spike-based neuromorphic computer. The preferred embodiment of the invention describes an algorithm for training a restricted boltzmann machine (rbm) neural network, but the invention applies equally to training neural networks in the general class of markov random fields.

Optical implementation of machine learning for real time increased contrast via multiple wavelength illumination with tunable power

An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object.
Verily Life Sciences Llc

Methods and systems for non-cooperative automatic security screening in crowded areas

The present invention is a multi-threat detection method and system for high-traffic areas, such as airports, other mass-transit hubs, malls, symposiums, and the like. The detection methodology comprises a set of detection blocks, each performing different functions, and taking the information resulting from each block and entering it into one or more detection algorithms.
Apstec Systems Usa Llc

Data de-duplication systems and methods

A system, method, and computer program includes a communications interface configured to receive a set of industry reports from multiple industry sources, and circuitry to compare one or more attributes of at least two trade lines to identify whether the at least two trade lines are duplicates. The circuitry characterizes as a binary indication whether the comparing indicates the one or more attributes are a match, and display a representation of the binary indication and receive a user-identified indication whether the at least two trade lines are duplicates.
Corelogic Credco, Llc

Systems and methods for classifying electronic information using advanced active learning techniques

Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases.

Identifying potential computer system problems using machine learning techniques

A system and method for determining whether a computer system is experiencing a problem are provided. Multiple data sets are identified.
Linkedin Corporation

Medical device and detecting a ventricular arrhythmia event

A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ecg) signal and processing circuitry coupled to the input circuitry that is configured to identify fiducial points within the ecg signal.
Khalifa University Of Science, Technology, And Research

Method and system for machine learning based assessment of fractional flow reserve

A method and system for determining fractional flow reserve (ffr) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an ffr value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping.
Siemens Healthcare Gmbh

Crowdsourcing-mode-based analysis utilization of wireless network resources by mobile apps

A crowdsourcing-mode-based analysis method for utilization of wireless network resources by mobile applications (apps) includes the following steps. Behavior characteristic data of each type of mobile app is collected by using a data collection tool, which is installed on a mobile client and based on a crowdsourcing technology and an analysis algorithm located on a cloud server, and using a machine learning algorithm targeted to the behavior characteristic data.
Nanjing Howso Technology Co., Ltd

Probabilistic http request routing

Some embodiments perform probabilistic request routing in addition to or instead of deterministic request routing. The probabilistic request routing is based on probabilistic models that predict the type of content being requested based on commonality in elements between different requests directed to the same type.
Verizon Digital Media Services Inc.

Method and system for machine learning based estimation of anisotropic vessel orientation tensor

A method and apparatus for machine learning based detection of vessel orientation tensors of a target vessel from a medical image is disclosed. For each of a plurality of voxels in a medical image, such as a computed tomography angiography (cta), features are extracted from sampling patches oriented to each of a plurality of discrete orientations in the medical image.
Siemens Healthcare Gmbh

Predictive shopping

A budget-constrained, machine-learning system is described that creates a shopping (purchase) list and performs on-line ordering and delivery. It receives the shopper's past purchase receipts from a retail store, pharmacy and/or auto center.
Wal-mart Stores, Inc.

Performing automated operations based on transactional data

Subject innovations are directed towards a platform architecture, system, and special purpose software and hardware that employs a machine learning approach using transactional behavioral events and data about customers to allow a telecommunications marketer to express a set of configurable business rules and constraints, and within a dynamic optimization approach, derive solutions or marketing approaches to optimize delayed key performance indicators. In one embodiment, this is obtained using marketing experiments that seek to learn and influence long term behaviors of customers..
Amplero, Inc.

Machine learning applications for dynamic, quantitative assessment of human resources

Systems and methods that include characterizing individual team members in terms of specified “character elements” or attributes, and combining the individual characterizations into an aggregate characterization of the team. The team evaluation does not merely sum individual attributes; rather, it analyzes the composition of the team relative to predetermined metrics, taking into account what combinations of individual team member attributes are more likely to lead to success of the team..
Preseries Tech, Sl

Complex dynamic route sequencing for multi-vehicle fleets using traffic and real-world constraints

Methods and systems to dynamically and optimally sequence routes based on historical and real-time traffic conditions, and to predict anticipated traffic conditions along the dynamically generated route are disclosed. Route sequencing may be based on a set of predefined constraints, e.g., distance, time, time with traffic, or any objective cost function.
Route4me, Inc.

Machine learning apparatus, laser apparatus and machine learning method

A machine learning apparatus includes: a state amount observation unit that observes a state amount of a laser apparatus including output data from an optical output detection unit, an optical output characteristic recording unit that records history of a driving current and optical output characteristics, and a driving condition/state amount recording unit that records history of a ld unit driving condition data and the state amount; an operation result acquisition unit that acquires a prediction result of characteristics and measurement result of optical output characteristics of the ld unit; a learning unit that learns the ld unit driving condition data with the state amount and the results of the ld unit driving condition data; and a decision-making unit that decides, from a learning result, the ld unit driving condition data.. .
Fanuc Corporation

Depth from time-of-flight using machine learning

A depth detection apparatus is described which has a memory storing raw time-of-flight sensor data received from a time-of-flight sensor. The depth detection apparatus also has a trained machine learning component having been trained using training data pairs.
Microsoft Technology Licensing, Llc

System and predicting and managing the risks in a supply chain network

This disclosure relates to predicting and managing supply chain network risks. In one embodiment, a processor-implemented method obtains identifiers for supply chain contributors and parameters; and a query.
Wipro Limited

System and rule generation using data processed by a binary classifier

A computer-implemented method is disclosed that operates in conjunction with machine learning binary classification of an event. The method generates a rule relating to whether or not the event will occur.
Huawei Technologies Co., Ltd.

Method and system for machine learning based classification of vascular branches

A method and apparatus for learning based classification of vascular branches to distinguish falsely detected branches from true branches is disclosed. A plurality of overlapping fixed size branch segments are sampled from branches of a detected centerline tree of a target vessel extracted from a medical image of a patient.
Siemens Healthcare Gmbh

Sampling content using machine learning to identify low-quality content

An online system obtains risk scores determined by a machine learning model for a content item provided by a user of an online system for display to users of the online system, where the risk scores indicate the likelihood of content items violating a content policy. The online system uses the risk scores to determine sampling weights used to select content items for inclusion in a sampled subset of content items.
Facebook, Inc.

Personalized adaptive risk assessment service

A behavioral health risk assessment service is provided to determine the behavioral health risk of a patient using personal demographic information and the patient's responses to adaptive screening questions. The screening questions are customized to the patient using machine learning techniques such as decision trees that optimize the amount of expected information gain on the behavioral health risk of the patient.
Lyra Health, Inc.

Content-based medical image rendering based on machine learning

An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering..
Siemens Healthcare Gmbh

Statistical feature engineering of user attributes

A method trains a model for providing content items to users of a social networking system. The system generates profile vectors based on user profile information such as demographic data and personal data.
Facebook, Inc.

Analyzing software test failures using natural language processing and machine learning

According to an aspect, software test failures are analyzed using natural language processing (nlp) and machine learning. A failure is detected during a code build associated with a software product.
International Business Machines Corporation

Wearable electromyography sensor array using conductive cloth electrodes for human-robot interactions

A sleeve worn on an arm allows detection of gestures by an array of sensors. Electromyography, inertial, and magnetic field sensors provide data that is processed to categorize gestures and translate the gestures into commands for robotic systems.
California Institute Of Technology

Cuff-less multi-sensor system for statistical inference of blood pressure with progressive learning/tuning

In one embodiment of the invention, a cuff-less blood pressure measuring system is disclosed including cuff-less blood pressure scanner with a vital signs signal processor having an adaptive blood pressure model. A machine learning process is further disclosed to tune the adaptive blood pressure model of the cuff-less blood pressure measuring system to the user..
Scanadu Incorporated

Automated diagnosis based at least in part on pulse waveforms

A front-end system collects diagnostically relevant information or data, including pulse waveform information, and optionally timing information, symptom information, and/or diagnostic information. One or more sensors or transducers detect pulse waveforms in a consistent manner, across various subjects and practitioners.
Pulse Tectonics Llc

Electronic message composition support method and apparatus

Disclosure includes an electronic message composition support system, method and architecture. Techniques including machine learning and natural language processing techniques are used to extend message composition capability and support and to provide feedback to a user regarding an error, condition, etc.
Yahoo! Inc.

Avatar animation system

Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape.
Intel Corporation

Learning-based drift detection tool

Embodiments are directed to a computer implemented method for generating a drift detector. The method includes generating, using a processor system, drift cases based at least in part on known drift set data of a computer system.
International Business Machines Corporation

Systems and methods for machine learning

A hybrid computer comprising a quantum processor can be operated to perform a scalable comparison of high-entropy samplers. Performing a scalable comparison of high-entropy samplers can include comparing entropy and kl divergence of post-processed samplers.
D-wave Systems Inc.

Systems and methods thereof for determination of a device state based on current consumption monitoring and machine learning thereof

A system for determination of a current consumer operational state operates on two sets of data respective of the current consumer. The first set of data is historical data of current consumption measured periodically.
Panoramic Power Ltd.

Methods and systems of spatiotemporal pattern recognition for video content development

A system for enabling user interaction with video content includes an ingestion facility configured to access at least one video feed and a machine learning system configured to process the at least one video feed through a spatiotemporal pattern recognition algorithm that applies machine learning on an event in the at least one feed in order to develop an understanding of the event including identifying context information relating to the event and an entry in a relationship library at least detailing a relationship between two visible video features. The system further includes an extraction facility configured to automatically extract content displaying the event and associate the extracted content with the context information, and a video production facility configured to produce a video content data structure that includes the context information.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Interacting with a broadcast video content stream is performed with a machine learning facility that processes a video feed of a video broadcast through a spatiotemporal pattern recognition algorithm that applies machine learning on at least one event in the video feed in order to develop an understanding of the at least one event. Developing the understanding includes identifying context information relating to the at least one event and identifying an entry in a relationship library detailing a relationship between two visible features of the video feed.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Producing an event related video content data structure includes processing a video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed. Developing the understanding includes identifying context information relating to the event and identifying an entry in a relationship library at least detailing a relationship between two visible features of the video feed.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Presenting event-specific video content that conforms to a user selection of an event type includes processing at least one video feed through at least one spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of at least one event within the at least one video feed to determine at least one event type, wherein the at least one event type includes an entry in a relationship library at least detailing a relationship between two visible features of the at least one video feed, extracting the video content displaying the at least one event and associating the understanding with the video content in a video content data structure. A user interface is configured to permit a user to indicate a preference for at least one event type that is used to retrieve and provide corresponding extracted video content with the data structure in a new video feed..
Second Spectrum, Inc.

Computerized system and open account processing

A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts.
Crowe Horwath, Llp

System and medical image based cardio-embolic stroke risk prediction

A system and method for medical image based patient-specific ischemic stroke risk prediction is disclosed. Left atrium (la) and left atrium appendage (laa) measurements are extracted from medical image data of a patient.
Siemens Healthcare Gmbh

Object recognition of feature-sparse or texture-limited subject matter

An object recognition system can be adapted to recognize subject matter having very few features or limited or no texture. A feature-sparse or texture-limited object can be recognized by complementing local features and/or texture features with color, region-based, shape-based, three-dimensional (3d), global, and/or composite features.
A9.com, Inc.

Deep machine learning methods and robotic grasping

Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a semantic grasping model to predict a measure that indicates whether motion data for an end effector of a robot will result in a successful grasp of an object; and to predict an additional measure that indicates whether the object has desired semantic feature(s).
Google Inc.

Deep machine learning methods and robotic grasping

Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a deep neural network to predict a measure that candidate motion data for an end effector of a robot will result in a successful grasp of one or more objects by the end effector.
Google Inc.

Surgical instruments and systems incorporating machine learning based tissue identification and methods thereof

A surgical system includes an end effector assembly having first and second jaw members, a generator, and one or more machine learning applications. The first and/or second jaw member is movable relative to the other from a spaced-apart position to an approximated position for grasping tissue therebetween.
Covidien Lp

Method and system to enable controlled safe internet browsing

Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators.
Gryphon Online Safety, Inc.

Machine-learning optimization for computing networks

A machine-learning optimization of a plurality of networks is provided. The machine-learning optimization includes interconnecting an online platform providing a machine learning module, a core network of computers deploying novel software, and a plurality of internet network service providers.

System for planetary-scale analytics

A smart satellite system is capable of decision making and prioritization on the fly to optimize the use of downlink bandwidth to deliver prioritized data based upon opportunity and the resources of available payloads. By providing a satellite system with substantial processing power and a level of autonomy, the satellite is able to make decisions about capturing imagery data, including image data processing, object detection, image segmentation, and re-orientation of the satellite based upon the opportunity, from the satellite's perspective, for capturing image data of areas or objects of interest.
Satellogic Overseas, Inc. (bvi)

Image distractor detection and processing

Image distractor detection and processing techniques are described. In one or more implementations, a digital medium environment is configured for image distractor detection that includes detecting one or more locations within the image automatically and without user intervention by the one or more computing devices that include one or more distractors that are likely to be considered by a user as distracting from content within the image.
Adobe Systems Incorporated

Imaging segmentation using multi-scale machine learning approach

A robust segmentation technique based on multi-layer classification technique to identify the lesion boundary is described. The inventors have discovered a technique based on training several classifiers such that to classify each pixel as lesion versus normal each classifier is trained on a specific range of image resolutions.
International Business Machines Corporation

System and machine learning based line assignment

Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A line prediction host may comprise various modules and engines, wherein lookalike records may be identified wherein the line assignment of a credit limit to a prospective account holder may be enhanced for enhanced account member value, wherein the transaction network more properly functions according to approved parameters..
American Express Travel Related Services Company, Inc.

System for monitoring of workflows capable of automatic task allocation and monitoring of resources

Disclosed herein is a system for efficient management of work flow through project management software. More specifically, the invention relates to novel task allocation processing based on available resources, characteristics of those resources, external event management, machine learning, and image processing ensuring efficient workflow by allowing resource capabilities to efficiently be utilized automatically..
A2ps Consulting And Software Llc

Robot learning via human-demonstration of tasks with force and position objectives

A system for demonstrating a task to a robot includes a glove, sensors, and a controller. The sensors measure task characteristics while a human operator wears the glove and demonstrates the task.
Gm Global Technology Operations Llc

Isolating data for analysis to avoid malicious attacks

Determining, by a machine learning model in an isolated operating environment, whether a file is safe for processing by a primary operating environment. The file is provided, when the determining indicates the file is safe for processing, to the primary operating environment for processing by the primary operating environment.
Cylance Inc.

Collision avoidance using auditory data

A controller for an autonomous vehicle receives audio signals from one or more microphones. The audio signals are input to a machine learning model that classifies the source of the audio features.
Ford Global Technologies, Llc

Method and system for purely geometric machine learning based fractional flow reserve

A method and system for determining hemodynamic indices, such as fractional flow reserve (ffr), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received.
Siemens Healthcare Gmbh

Graph framework using heterogeneous social networks

In an example embodiment, a supervised machine learning algorithm is used to train a communication reply score model based on an extracted first set of features and second set of features from social networking service member profiles and activity and usage information. When a plurality of member search results is to be displayed, for the member identified in each of the plurality of member search results, the member profile corresponding to the member is parsed to extract a third set of one or more features from the member profile, activity and usage information pertaining to actions taken by the members on the social networking service is parsed to extract a fourth set of one or more features, and the extracted third set of features and fourth set of features is inputted into the communication reply score model to generate a communication reply score, which is displayed visually to a searcher..
Linkedin Corporation

Learning systems and methods

A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images.
Digimarc Corporation

System and employee placement prediction using machine learning

A method, computer program product, and computer system for identifying, by a computing device, historical information associated with filling a substitute position for a profession, wherein the historical information may include a plurality of categories. At least a first portion of categories of the plurality of categories may be selected to be used in a prediction model.
Teacher Match, Llc

Methods of ai based crm

In a crowd sourcing approach, responses to customer service inquiries are provided by routing a subset of the inquiries to an independent group of experts. The customer service inquiries are optionally routed to specific experts based on matches between identified subject matter of the inquiries and expertise of the experts.
Directly, Inc.

Machine learning device, industrial machine cell, manufacturing system, and machine learning learning task sharing among plurality of industrial machines

A machine learning device, which performs a task using a plurality of industrial machines and learns task sharing for the plurality of industrial machines, includes a state variable observation unit which observes state variables of the plurality of industrial machines; and a learning unit which learns task sharing for the plurality of industrial machines, on the basis of the state variables observed by the state variable observation unit.. .
Fanuc Corporation

Optimization chat-based conversations

A method for optimizing chat-based conversations using machine learning is disclosed, comprising the use of machine learning to improve the likelihood of the chat-based conversation attaining a long-term goal or maintaining the engagement/interest level of an entity engaged in the conversation.. .
Rapportboost.ai

Machine-learning data analysis tool

Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ml) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (gui) that enables a user to train and apply a variety of different ml models on user-selected datasets of stored machine data.
Splunk Inc.

Real-time detection of object scanability

A system and method are disclosed for determining and alerting a user as to whether an object will successfully scan before the post-processing of the scan data. In embodiments, before post-processing of the scan data begins, the scan data is processed by a machine learning algorithm which is able to determine whether and/or how likely the scan data is to return an accurate scanned reproduction of the scanned object.

Systems and methods for enhancing data protection by anonosizing structured and unstructured data and incorporating machine learning and artificial intelligence in classical and quantum computing environments

Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the gdpr or hipaa, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (pet), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.
Anonos Inc.

Ontological subjects of a universe and knowledge representations thereof

The present invention discloses methods, systems, and tools for knowledge processing and visualizations by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subjects of the composition.

Methods and reducing artifacts in oct angiography using machine learning techniques

In some embodiments of the present invention, a method of reducing artifacts includes obtaining oct/octa data from an oct/octa imager; preprocessing octa/oct volume data; extracting features from the preprocessed octa/oct volume data; classifying the octa/oct volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.. .
Optovue, Inc.

Mental state mood analysis using heart rate collection based on video imagery

Video of one or more people is obtained and analyzed. Heart rate information is determined from the video.
Affectiva, Inc.

Depression assessment system and depression assessment method based on physiological information

The present invention discloses a depression assessment system based on physiological information, comprising an information acquisition module, a signal processing module, a parameters calculation module, a feature selection module, a machine learning module and an output result module. The present invention further discloses a depression assessment method based on various physiological information, comprising the following steps: 1, processing electrocardiogram (ecg) signal and one or more of photoplethysmography (ppg) signal, electroencephalogram (eeg) signal, galvanic skin response (gsr)signal, electrogastrography (egg) signal, electromyogram (emg) signal, electrooculogram (eog) signal, polysomnogram (psg) signal and temperature signal, and calculating signal parameters; 2, normalizing the obtained signal parameters, and performing the feature selection on parameters set formed by the normalized signal parameters to obtain feature parameters set; and 3, performing machine learning by utilizing the obtained feature parameters set, and establishing a depression assessment mathematic model to assess the depression level by utilizing a relationship between the feature parameters set and the depression level.
Shenzhen Sayes Medical Technology Co., Ltd.

Methods and systems of spatiotemporal pattern recognition for video content development

Providing enhanced video content includes processing at least one video feed through at least one spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of a plurality of events and to determine at least one event type for each of the plurality of events. The event type includes an entry in a relationship library detailing a relationship between two visible features.
Second Spectrum, Inc.

Feature generation for online/offline machine learning

A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database.
Netflix, Inc,

Methods and systems for dynamic adjustment of session parameters for effective video collaboration among heterogenous devices

Methods and systems for mobile video communications may include using a wireless network for video communications when a wired network is unavailable by providing portable mobile communications equipment to enable video communications and collaborations over a cellular, satellite or other wireless network. The methods and systems may use two or more network connections to transmit data packets for the video communications or collaborations.
Swyme Ip Bv

Continuous security delivery fabric

A continuous security delivery fabric is disclosed. One or more security functions, comprising one or more tasks to be performed by a security tool, utility or service is encapsulated in a componentized security policy.
Cybric Inc.

Endpoint-based man in the middle attack detection using machine learning models

A first node of a networked computing environment initiates each of a plurality of different types of man-in-the middle (mitm) detection tests to determine whether communications between first and second nodes of a computing network are likely to have been subject to an interception or an attempted interception by a third node. Thereafter, it is determined, by the first node, that at least one of the tests indicate that the communications are likely to have been intercepted by a third node.
Cylance, Inc.

User experience using social and financial information

At least one financial information for a user is received. A machine learning model is determined.
International Business Machines Corporation

Probabilistic price and spike forecasting

A method to forecast a spike price of a commodity may include obtaining a request to perform a prediction of a spike in a price of a commodity. The method may also include obtaining additional information of the commodity based on the input.
Fujitsu Limited

Robust large-scale machine learning in the cloud

The present disclosure provides a new scalable coordinate descent (scd) algorithm and associated system for generalized linear models whose convergence behavior is always the same, regardless of how much scd is scaled out and regardless of the computing environment. This makes scd highly robust and enables it to scale to massive datasets on low-cost commodity servers.
Google Inc.

System and automated detection of incorrect data

Systems, apparatuses, and methods for the automated detection of incorrect data during a data entry process or detecting incorrect data that has been entered and stored previously. In one embodiment, the invention utilizes one or more of statistical analysis or a machine learning technique (either supervised or unsupervised) in order to identify potentially incorrect data..
Netsuite Inc.

Apparatus and generating weight estimation model, and estimating weight

An apparatus for generating the weight estimation model includes a training data collection unit that collects training data, the training data including skin spectrum information and weight information of a plurality of objects, and a model generation unit that generates the weight estimation model, used for a spectrum-based weight estimation, through machine learning based on the collected training data.. .
Samsung Electronics Co., Ltd.

Identification of individuals and/or times using image analysis

The present disclosure provides a method for training a machine learning software component. In a computing system, a plurality of images and a plurality of location tuples are received.
Sweatworks, Llc

Systems and methods for using wearable sensors to determine user movements

Systems and methods are described that use sensors, such as accelerometers, gyroscopes or magnometers, located in wearable technology or affixed to a weight or tool. The sensors capture the motions of a user, weight or tool, and the sensor signals are analyzed to determine a list of movements, exercises and/or activities that were performed by the user, weight, or tool.
Sensorkit, Inc.

Protection system including machine learning snapshot evaluation

This disclosure is directed to a protection system including machine learning snapshot evaluation. A device may comprise a machine learning engine (mle) to generate snapshots of device operation.
Intel Corporation

Systems and methods for machine learning using classifying, clustering, and grouping time series data

Systems and methods are provided for performing data mining and statistical learning techniques on a big data set. More specifically, systems and methods are provided for linear regression using safe screening techniques.
Sas Institute Inc.

System and high speed threat intelligence management using unsupervised machine learning and prioritization algorithms

This document discloses a system and method for consolidating threat intelligence data for a computer and its related networks. Massive volumes of raw threat intelligence data are collected from a plurality of sources and are partitioned into a common format for cluster analysis whereby the clustering of the data is done using unsupervised machine learning algorithms.
Certis Cisco Security Pte Ltd

Machine learning device, numerical controller, machine tool system, manufacturing system, and machine learning learning display of operation menu

A machine learning device, which detects an operator, communicates with a database registering information concerning the operator, and learns display of an operation menu based on the information concerning the operator, includes a state observation unit which observes an operation history of the operation menu; and a learning unit which learns the display of the operation menu on the basis of the operation history of the operation menu observed by the state observation unit.. .
Fanuc Corporation

Machine learning for virtual machine migration plan generation

Embodiments relate to generating a virtual machine (vm) migration plan. An initial mapping of vms to hosts is determined as an origin state and a final mapping of vms to hosts as a goal state.
International Business Machines Corporation

Dynamic recompilation techniques for machine learning programs

The embodiments described herein relate to recompiling an execution plan of a machine-learning program during runtime. An execution plan of a machine-learning program is compiled.
International Business Machines Corporation

Method and system for implicit authentication

A method and system capable of implicitly authenticating users based on information gathered from one or more sensors, which may be located in one or more devices, and an authentication model trained via a machine learning technique. Data is collected, manipulated, and assessed with the authentication model in order to determine if the user is authentic.
The Trustees Of Princeton University

Production control system and integrated production control system

Provided is a production control system of a factory including: a plurality of machines; an air conditioner; a power computation unit for monitoring power consumption of an entire factory; a temperature information generation unit for generating information on temperature inside the factory; wherein running status and processing condition of the machines and running status of the air conditioner are controlled to produce the products dictated by the production plan by a delivery deadline; and a machine learning unit that learns a relationship of operational status including the running status and the processing condition of the machines and the running status of the air conditioner to environmental status including production completion time according to the operational status, the temperature inside the factory, and the power consumption of the factory, and outputs operational status that brings the environmental status to a desired condition in accordance with the production plan.. .
Fanuc Corporation

Model training and deployment in complex event processing of computer network data

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics.
Splunk Inc.

Spam processing with continuous model training

In various example embodiments, a system and method for generating a filtering spam content using machine learning are presented. One or more electronic content is received.
Linkedin Corporation

Machine learning inspecting reticles

Apparatus and methods for inspecting a specimen are disclosed. An inspection tool is used at one or more operating modes to obtain images of a plurality of training regions of a specimen, and the training regions are identified as defect-free.
Kla-tencor Corporation

Fraud inspection framework

Described herein is a framework to facilitate fraud inspection. In accordance with one aspect of the framework, one or more fraud rules are generated based on the historical data by performing machine learning.
Sap Se

System and machine learning based user application

The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device and a machine learning algorithm(s), utilizing a classical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (internet of things (iot)).

Method and system for distributed deep machine learning

The present teaching relates to distributed deep machine learning on a cluster. In one example, a request is received for estimating one or more parameters associated with a machine learning model on a cluster including a plurality of nodes.
Yahoo! Inc.

Predicting application performance on hardware accelerators

Predicting program performance on hardware devices, in one aspect, may comprise obtaining a set of existing applications and observed performance on a target hardware device. The set of existing applications are run on one or more general purpose computer processors and application features are extracted from the existing application.
International Business Machines Corporation

Predictive modeling across multiple horizons combining time series & external data

A multi-horizon predictor system that predicts a future parameter value for multiple horizons based on time-series data of the parameter, external data, and machine-learning. For a given time horizon, a time series data splitter splits the time into training data corresponding to a training time period, and a validation time period corresponding to a validation time period between the training time period and the given horizon.
Microsoft Technology Licensing, Llc

Automatic problem assessment in machine learning system

A machine learning problem assessment system that identifies potential machine learning problems in a machine learning system in which learning code evaluates data to correlate estimated learned data with data patterns. An accessing component accesses the learning code and/or the data that the learning code evaluates.
Microsoft Technology Licensing, Llc

Method and system for innovation management and optimization under uncertainty

An integrated and comprehensive method and system is disclosed for management and optimization of innovation and associated processes under uncertainty. A first embodiment of the invention consists of a data mining and clustering module to compare a new innovation submission with existing internal and external entries and databases, identify similarities and group similar entries together.

Machine learning learning condition for starting laser machining, laser apparatus, and machine learning method

The machine learning apparatus includes: a state data observing unit which observes state data of the laser apparatus, including data output from a reflected light detecting unit for measuring a reflected light amount; an operation result acquiring unit which acquires a success/failure result indicating whether the machining has been started successfully by the laser beam output from a laser oscillator; a learning unit which learns light output command data by associating the light output command data with the state data of the laser apparatus and the success/failure result of the machining start; and a decision making unit which determines the light output command data by referring to the light output command data learned by the learning unit.. .
Fanuc Corporation

Training data to increase pixel labeling accuracy

Techniques are described to generate improved training data for pixel labeling. To generate training data, objects are displayed in a user interface by a computing device, e.g., iteratively.
Adobe Systems Incorporated

Domain adaptation by multi-noising stacked marginalized denoising encoders

A machine learning method operates on training instances from a plurality of domains including one or more source domains and a target domain. Each training instance is represented by values for a set of features.
Xerox Corporation

Methods and using video analytics to detect regions for privacy protection within images from moving cameras

In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera.
Kiwisecurity Software Gmbh

Assigning social networking system users to households

Users of a social networking system are assigned to households using prediction models that rely, in part, on user profile information and social graph data. Information about users may be received by a social networking system through various channels (e.g., declared/profile information, user history, ip addresses, global positioning system (gps) data from check-in events and/or continuously provided by mobile devices, external household information, and/or social information).
Facebook, Inc.

User-trained searching application system and method

System, apparatus, user equipment, and associated computer program and computing methods are provided for suggesting websites that are relevant based on the user's browsing history and past search results. In one aspect, a hosted computer application stores the user's browsing history and search results using a cloud-based storage facility, and computing methods, using machine learning techniques, are operative to predict websites the user may want to visit next.

Enterprise writing assistance

The present disclosure is directed to systems, methods and devices for providing customizable enterprise-based policy for managing document content. Text from documents being authored and edited may be processed by one or more natural language processing and machine learning modules and a determination may be made that one or more enterprise rules relating to processed text are implicated.
Microsoft Technology Licensing, Llc

Method for acquiring intentionally limited data and the machine learning approach to reconstruct it

Aspects of the present disclosure involve a data capturing and processing system that intentionally captures data and/or data sets with missing pieces of information. The data and/or datasets may include various types of data, such as one-dimensional signals, two-dimensional images (or other images), and/or three-dimensional structures.
Northwestern University

System and prediction using synthetic features and gradient boosted decision tree

A machine learning system and method are disclosed in which a plurality of synthetic features are created from input data, and a gradient boosted decision tree algorithm is then executed by the computer to process both the synthetic features and at least some of the input data to produce an output that is a probability.. .
Huawei Technologies Co., Ltd.

Reach and frequency for online advertising based on data aggregation and computing

An audience analysis system determines and predicts reach and frequency information of online users. The system receives real-time ad impression data from ad publishers or other data providers as well as report requests from advertisers asking for the reach and frequency information.
Facebook, Inc.

Predicting api storytelling mapping

A first indication from a user is received. The indication includes a task to be performed using at least one application programming interface.
International Business Machines Corporation

Training algorithm for collision avoidance

A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle.
Ford Global Technologies, Llc

Machine learning through parallelized stochastic gradient descent

Systems, methods, and computer media for machine learning through a symbolic, parallelized stochastic gradient descent (sgd) analysis are provided. An initial data portion analyzer can be configured to perform, using a first processor, sgd analysis on an initial portion of a training dataset.
Microsoft Technology Licensing, Llc

Adaptive model-based system to automatically quantify fall risk

A method predicts the fall risk of a user based on a machine learning model. The model is trained using data about the user, which may be from wearable sensors and depth sensors, manually input by the user, and received from other types of sources.
Verily Life Sciences Llc

Snippet extractor: recurrent neural networks for text summarization at industry scale

Systems, methods and media are provided for training a snippet extractor to create snippets based on information extracted from published descriptions. In one example, a computer-implemented method includes creating, based on a non-rnn (recurrent neural network) extraction technique performed on the published descriptions, a plurality of base models, each base model including one or more sample description summaries; evaluating the base models using an evaluation technique; selecting an optimum base model; developing a classification model using rnn extraction, the classification model based on description summaries contained in the optimum base model; and using the classification model to train the snippet extractor by machine learning..
Ebay Inc.

Method and system for discovering ancestors using genomic and genealogic data

Described invention and its embodiments, in part, facilitate discovery of ‘most recent common ancestors’ in the family trees between a massive plurality of individuals who have been predicted to be related according to amount of deoxyribonucleic acids (dna) shared as determined from a plurality of 3rd party genome sequencing and matching systems. This facilitation is enabled through a holistic set of distributed software agents running, in part, a plurality of cooperating machine learning systems, such as smart evolutionary algorithms, custom classification algorithms, cluster analysis and geo-temporal proximity analysis, which in part, enable and rely on a system of knowledge management applied to manually input and data-mined evidences and hierarchical clusters, quality metrics, fuzzy logic constraints and bayesian network inspired inference sharing spanning across and between all data available on personal family trees or system created virtual trees, and employing all available data regarding the genome-matching results of users associated to those trees, and all available historical data influencing the subjects in the trees, which are represented in a form of competitive learning network.

Video processing

A computer-implemented method to train a video annotation machine learning process is disclosed. The method may include obtaining a video and determining that a predetermined event occurs in the video.
Wizr Llc

Methods and systems for automatically and accurately detecting human bodies in videos and/or images

The present invention discloses methods and systems for detecting a human body in an image using a machine learning model. The method includes selecting one or more candidate regions from one or more regions in an image based on a pre-defined threshold.
Intelli-vision

Methods and systems for automatically and accurately detecting human bodies in videos and/or images

The present invention discloses methods and systems for detecting a human body in an image using a machine learning model. The method includes selecting one or more candidate regions from one or more regions in an image based on a pre-defined threshold.
Intelli-vision

Generation of a natural language resource using a parallel corpus

One embodiment provides a method for generating a natural language resource using a parallel corpus, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving, from a parallel corpus, natural language text in a source language and a corresponding translation of the natural language text in a target language, wherein the natural language text in the source language comprises linguistic annotations; projecting the linguistic annotations from the source language natural language text to the target language natural language text; applying one or more filters to remove at least one projected linguistic annotation from the target language natural language text that results in at least one error; selecting at least one target language natural language text having substantially complete linguistic annotations; training a machine learning model using the selected at least one target language natural language text and annotations; and adding, using the trained machine learning model, linguistic annotations to at least one target language natural language text having incomplete linguistic annotations. Other aspects are described and claimed..
International Business Machines Corporation

Identification device and identification method

The identification apparatus includes a quantitative phase image acquisition unit, a feature quantity extraction unit, a learning unit, a storage unit, and an identification unit. The feature quantity extraction unit extracts a feature quantity of a quantitative phase image of a cell.
Hamamatsu Photonics K.k.

Time series data adaptation and sensor fusion systems, methods, and apparatus

Systems, methods, and apparatus for time series data adaptation, including sensor fusion, are disclosed. For example, a system includes a variational inference machine, a sequential data forecast machine including a hidden state, and a machine learning model.
Preferred Networks, Inc.

Digital content interaction prediction and training that addresses imbalanced classes

Digital content interaction prediction and training techniques that address imbalanced classes are described. In one or more implementations, a digital medium environment is described to predict user interaction with digital content that addresses an imbalance of numbers included in first and second classes in training data used to train a model using machine learning.
Adobe Systems Incorporated

Method and machine learning

A disclosed machine learning method includes: calculating a first output error between a label and an output in a case where dropout in which values are replaced with 0 is executed for a last layer of a first channel among plural channels in a parallel neural network; calculating a second output error between the label and an output in a case where, the dropout is not executed for the last layer of the first channel; and identifying at least one channel from the plural channels based on a difference between the first output error and the second output error to update parameters of the identified channel.. .
Fujitsu Limited

Fixation generation for machine learning

The disclosure extends to methods, systems, and apparatuses for automated fixation generation and more particularly relates to generation of synthetic saliency maps. A method for generating saliency information includes receiving a first image and an indication of one or more sub-regions within the first image corresponding to one or more objects of interest.
Ford Global Technologies, Llc

Determining activities responsive to profile

An application, such as a personal assistant executed by a smart phone, determines that a user does not have any scheduled activities planned in their calendar for a period of time. Based on a profile of the user that describes user interests, the application determines multiple upcoming activities for the period of time that the user may enjoy.
Microsoft Technology Licensing, Llc

Multimodality mineralogy segmentation system and method

A multimodality imaging system and method for mineralogy segmentation is disclosed. Image datasets of the sample are generated for one or more modalities, including x-ray and focused ion beam scanning electron microscope (fib-sem) modalities.
Carl Zeiss X-ray Microscopy Inc.

Apparatus and detecting fraudulent transaction using machine learning

Provided are an apparatus and method for detecting a fraudulent transaction using machine learning. The apparatus for detecting a fraudulent transaction using machine learning includes a settlement information input unit configured to receive settlement information of a user device in response to a settlement request from the user device, a feature information extraction unit configured to extract feature information from the received settlement information, and a fraudulent transaction determination unit configured to determine whether a transaction is a fraudulent transaction or not using a plurality of machine learning algorithms based on the extracted feature information..
Korea Internet & Security Agency

Hardware accelerated machine learning

A machine learning hardware accelerator architecture and associated techniques are disclosed. The architecture features multiple memory banks of very wide sram that may be concurrently accessed by a large number of parallel operational units.
1026 Labs, Inc.

Duplicate bug report detection using machine learning algorithms and automated feedback incorporation

Duplicate bug report detection using machine learning algorithms and automated feedback incorporation is disclosed. For each set of bug reports, a user-classification of the set of bug reports as including duplicate bug reports or non-duplicate bug reports is identified.
Oracle International Corporation

Gaze correction of multi-view images

Gaze is corrected by adjusting multi-view images of a head. Image patches containing the left and right eyes of the head are identified and a feature vector is derived from plural local image descriptors of the image patch in at least one image of the multi-view images.
Reald Spark, Llc

Automated processing of panoramic video content using machine learning techniques

The present disclosure provides techniques for capturing, processing, and displaying panoramic content such as video content and image data with a panoramic camera system. In one embodiment, a method for processing panoramic video content may include communicating captured video content to a virtual sensor of a panoramic camera; applying a machine learning algorithm to the captured video content; identifying content of interest information suitable for use by at least one smart application; and executing a smart application in connection with the identified content of interest information.
360fly, Inc.

Methods and systems for determining advertising reach based on machine learning

Methods and systems are provided for determining advertising reach based on machine learning. In particular, a reach calculator is provided to determine reach for advertisement campaigns in real time through the use of machine learning.
Rovi Guides, Inc.

Systems and methods to match job candidates and job titles based on machine learning model

Systems, methods, and non-transitory computer readable media are configured to receive a resume corpus. A machine learning model is trained based on terms from the resume corpus.
Facebook, Inc.

Machine learning based webinterface generation and testing system

Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (mlco) system that uses evolutionary computations to efficiently identify most successful webpage designs in a search space without testing all possible webpage designs in the search space. The search space is defined based on webpage designs provided by marketers.
Sentient Technologies (barbados) Limited

Update of a machine learning system

The invention notably relates to a computer-implemented method for updating a model of a machine learning system. The method comprises providing a first set of observations of similar events, each observation being associated with one or more variables, each variable being associated with a value, and with a target value; indexing each observation of the first set with its corresponding one or more variables and target value; receiving, on the index, a query allowing a selection of a subset of the first set of observations; returning, as a result of the query, a subset of the first set of observations; providing a second model; training the provided second model with the returned subset of the first set of observations; and loading the trained second model..
Dassault Systemes

Accelerated training of a machine learning based model for semiconductor applications

Methods and systems for accelerated training of a machine learning based model for semiconductor applications are provided. One method for training a machine learning based model includes acquiring information for non-nominal instances of specimen(s) on which a process is performed.
Kla-tencor Corporation

System and auto-query generation

Various systems and methods provide an intuitive user interface that enables automatic specification of queries and constraints for analysis by ml component. Various implementations provide methodologies for automatically formulating machine learning (“ml”) and optimization queries.
Nutonian, Inc.

Real time organization pulse gathering and analysis using machine learning and artificial intelligence

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for natural language processing of unstructured text are disclosed. In one aspect, a method includes the actions of receiving one or more unstructured data entries that each include one or more sentences, are each associated with an entity, and are each from a user.
Accenture Global Solutions Limited

Optimizing performance of event detection by sensor data analytics

A computer-implemented method, computerized apparatus and computer program product, the method comprising: obtaining data measured by one or more sensors; segmenting the data into a plurality of sliding windows; extracting one or more features from each of the plurality of sliding windows; analyzing, by a machine learning process, the extracted features to determine, for each sliding window, an activity detection in the sliding window; and determining an activity detection result in the data to be positive responsive to activity detection by the machine learning process in at least a number m of sliding windows out of a number n of consecutive sliding windows, wherein m>1.. .
International Business Machines Corporation

Systems and methods to rank job candidates based on machine learning model

Systems, methods, and non-transitory computer readable media are configured to determine a training set to train a machine learning model. A feature set for the model is determined.
Facebook, Inc.

Automated machine learning tool

Techniques are provided for generating and deploying a computer model with relatively few inputs from a user. Techniques are also provided for creating a data mart that multiple computer models may leverage in order to decrease the time required to generate subsequent computer models..
Linkedin Corporation

Predictive analytics with stream database

In one embodiment, a method includes receiving a data stream at an analytics device, applying at the analytics device, continuous streaming queries to the data stream to build a plurality of models simultaneously for a plurality of time windows, each of the models comprising an incremental machine learning algorithm with parameters optimized for one of the time windows, validating the models in parallel using real-time data at the analytics device, selecting at least one of the models based on a comparison of validation results for the models, and applying the selected model to the real-time data to generate a data prediction at the analytics device. An apparatus and logic are also disclosed herein..
Cisco Technology, Inc.

Categorizationing and prioritization of managing tasks

Techniques and architectures manage tasks in an electronic communications environment, such as in electronic calendars, email accounts, displays, and databases. A computing system may determine a number of task-oriented actions based, at least in part, on a history of execution patterns followed by a particular user for performing particular tasks.
Microsoft Technology Licensing, Llc

Feature type spectrum technique

Sensors are used to generate sample set data representing objects in a sample set. A computer system analyzes the sample set data to determine the frequencies with which features in a feature set are observed in the objects in the sample set.
University Of Massachusetts

Optimizing a visual perspective of media

One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest.
Microsoft Technology Licensing, Llc

Behavior-based malicious code detecting apparatus and method using multiple feature vectors

A behavior-based malicious code detecting apparatus and method using multiple feature vectors is disclosed. A malicious code learning method may include collecting characteristic factor information when a training target process comprising a malicious code is executed, generating a feature vector for malicious code verification based on the collected characteristic factor information, learning the generated feature vector through a plurality of machine learning algorithms to generate a model of representing the malicious code and a model of representing a normal file, and storing the model of representing the malicious code and the model of representing the normal file generated through the learning..
Electronics And Telecommunications Research Institute

Scheme of new materials

A method and system are provided for predicting chemical structures. The method includes receiving, at a user interface, intended structural feature values and intended chemical property values, as vectors.
International Business Machines Corporation

On-line content sampling

Briefly, embodiments disclosed herein relate generally to on-line content sampling, and more particularly to utilization of machine learning techniques to sample on-line content in a search engine environment, for example.. .
Yahoo! Inc.

System and aggregating, classifying and enriching social media posts made by monitored author sources

Provided is a system and method for aggregating, classifying, and enriching social media. machine learning techniques and automatic analysis is performed on posts aggregated from different social media sites.
Ddductr Ug

System and computing features that apply to infrequent queries

In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received.
Ebay Inc.

Data mart for machine learning

Techniques are provided for generating and deploying a computer model with few inputs from a user. Techniques are also provided for creating a data mart that multiple computer models may leverage in order to decrease the time required to generate subsequent computer models..
Linkedin Corporation

Mobile searches utilizing a query-goal-mission structure

One or more client devices, systems, and/or methods of improving mobile searches are provided. A feature (e.g., “snow boots”), generated on a client device, is identified.
Yahoo!, Inc.

Evaluation of a training set

The invention notably relates to a computer-implemented method for assessing a potential divergence of an outcome predicted by a machine learning system. The method comprises: training a model on a first set of observations, each observation being associated with a target value; randomly generating a second set of observations; applying the trained model to the second set thereby obtaining a target value associated with each observation of the second set; indexing the first and second sets of observations and their associated target values into an index; receiving a first query allowing a selection of a subset of the first and second sets of observations; generating a second query that comprises the first query and an additional constraint that is to return only observation(s) of the first set; generating a third query that comprises the first query and an additional constraint that is to return only observation(s) of the second set; querying the index using the second and third queries; and returning a response to the second and third queries..
Dassault Systemes

Selection-based item tagging

Item selections along with user inputs are leveraged to provide users with automated item tagging. Further user interaction with additional windows and other interfacing techniques are not required to tag the item.
Microsoft Technology Licensing, Llc

Defect prediction

Disclosed is a method and system for providing a defect template for software testing. The method comprising obtaining data associated with one or more test cases and one or more defects and mapping the one more test cases with the one or more defect cases based on the data.
Hcl Technologies Limited

Machine learning based webinterface production and deployment system

Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (mlco) system that uses evolutionary computations to efficiently identify most successful webpage designs in a search space without testing all possible webpage designs in the search space. The search space is defined based on webpage designs provided by marketers.
Sentient Technologies (barbados) Limited

Real-time predictive systems for intelligent energy monitoring and management of electrical power networks

A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal.
Power Analytics Corporation

Generating of 3d-printed custom wearables

Disclosed is a platform for generating and delivering 3-d printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable.
Wiivv Wearables Inc.

System and extraction of the heart valve signals

A system for monitoring and diagnosing heart conditions includes a sensor array with accelerometers, an electrocardiogram sensor, and a system to capture and process the composite heart signals. The system performs source separation to extract information contained in cardio pulmonic vibrations.
Aventusoft, Llc

System and extraction, identification, marking and display of heart valve signals

A system (100) for monitoring and diagnosing heart conditions includes a sensor array (102) with accelerometers, an electrocardiogram sensor, and a system to synchronously capture and process (103, 105, or 106) composite heart signals. The system performs separation, identification and marking (201-205 or 501-509) of the signals, to extract information in cardiac vibrations.
Aventusoft, Llc

Hierarchical capital allocation using clustered machine learning

A cluster of server computing devices receives a matrix of observations and divides the matrix into a plurality of input data sets. Each processor in the cluster generates a first data structure for a distance matrix based upon a corresponding input data set, the distance matrix comprising a plurality of items, and clusters the items to generate a clustered distance matrix.

System and deploying customized machine learning services

The present disclosure discloses a system and method for deploying customized machine learning services. Specifically, a computing device of a machine learning service provider maintains a meta training component and a plurality of meta data schemas.
Cloudbrain Inc.

System and comparing training data with test data

An information processing system, a computer readable storage medium, and a method for comparing training data with test data. The method can include collecting by a processor of a machine learning system, training data having meta-data information used for training the machine learning system, and test data lacking meta-data information.
International Business Machines Corporation

Systems and methods to de-duplicate features for machine learning model

Systems, methods, and non-transitory computer readable media are configured to determine a feature set for a model to be trained by machine learning. A subset of features from the feature set can be associated with entities having relationship types and corresponding to pages on a social networking system.
Facebook, Inc.

System and predicting response time of an enterprise system

System and method for predicting enterprise system response time is disclosed. System pre-processes causal variables of historical output time series data to select subset of causal variables by applying regression techniques to obtain significant causal variables.
Tata Consultancy Services Limited

Technologies for distributed machine learning

Technologies for distributed machine learning include a mobile compute device to identify an input dataset including a plurality of dataset elements for machine learning and select a subset of the dataset elements. The mobile compute device transmits the subset to a cloud server for machine learning and receives, from the cloud server, a set of learned parameters for local data classification in response to transmitting the subset to the cloud server.

Automatic detection of objects in video images

A machine learning model is configured to detect objects from video images. A system monitors video images to identify particular objects.
Qualcomm Incorporated

System, detecting vulnerabilities in electronic devices

A system and method are provided for detecting malicious or unwanted software, or malicious or unauthorized access to cyber-physical system devices. The activity and applications on the device are analyzed by various methods including machine learning algorithms and the results are reported.
Iota Security Inc.

Systems and methods for voa model generation and use

A computer implemented system and method provides a volume of activation (voa) estimation model that receives as input two or more electric field values of a same or different data type at respective two or more positions of a neural element and determines based on such input an activation status of the neural element. A computer implemented system and method provides a machine learning system that automatically generates a computationally inexpensive voa estimation model based on output of a computationally expensive system..
Boston Scientific Neuromodulation Corporation

Retrospective sensor systems, devices, and methods

A method for retrospective calibration of a glucose sensor uses stored values of measured working electrode current (isig) to calculate a final sensor glucose (sg) value retrospectively. The isig values may be preprocessed, discrete wavelet decomposition applied.
Medtronic Minimed, Inc.

Machine learning approach to selecting candidates

Example apparatus and methods concern a clinical decision support system for the selection of candidates. A clinical decision support system includes a candidate data logic that receives electronic data that identifies candidate data, including symptom and non-symptom data, for a candidate.
Case Western Reserve University

Machine learning system for creating and utilizing an assessment metric based on outcomes

A machine learning system and method utilizing artificial intelligence improves the provisioning of healthcare and reduces the total cost of healthcare and lost productivity. The approach creates a quantifiable assessment of quality and a ranking number measuring a provider's quality of healthcare services.
Integer Health Technologies, Llc

Non-invasive measurement of ambulatory blood pressure

Systems and methods are provided in which data acquisition device detects and captures ambulatory radial arterial blood pressure in a non-invasive and continuous manner through the combined use of tonometry, accelerometry and photoplethysmography, together with the detecting and translating of mayer waves. Transformed blood pressure data, together with motion and contextual data can be used as input for machine learning algorithms and biomathematical models which can predict the general state of health of an individual.
Lifeq Global Limited

Intelligent agricultural systems

An agricultural data collection system may include a plurality of self-powered agricultural data collection devices disposed across an agricultural area. The agricultural data collection system may also include a plurality of self-powered agricultural output devices that control the distribution of one or more agricultural resources across at least a portion of the agricultural area.
Intel Corporation

Accurate real-time identification of malicious bgp hijacks

A system and method for detecting malicious hijack events in real-time is provided. The method may include receiving routing data associated with a border gateway protocol (bgp) event from at least one bgp router.
Symantec Corporation

User profile selection using contextual authentication

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that are associated with user profile selection using contextual authentication. In various embodiments, a first user of a computing device may be authenticated and have an access control state corresponding to a first user profile established, the computing device may select a second user profile based at least in part a changed user characteristic, and the computing device may present a resource based at least in part on the second user profile.
Intel Corporation

Machine learning system for intelligently identifying suitable time slots in a user's electronic calendar

Training a machine to learn and to identify time slots to select in a user's electronic calendar, in one aspect, may include receiving an invitee list and meeting meta data associated with a meeting via an electronic calendar application. Candidate timeslots for the meeting may be determined and a database associated with the electronic calendar application analyzed to obtain user factors associated with the candidate timeslots and invitees in the invitee list.
International Business Machines Corporation

Unique accommodation search improvement founded in listing booking conversion

Methods and systems for machine learning assisted search functions for unique accommodations founded in listing booking conversion are disclosed. In one embodiment, an online booking system models the conversion propensity of listings based on statistical relationships between features of previously received accommodation reservation requests and the booking of those reservation requests by guests.
Airbnb, Inc.

Member communication reply score calculation

In an example embodiment, a supervised machine learning algorithm is used to train a communication reply score model based on an extracted first set of features and second set of features from social networking service member profiles and activity and usage information. When a plurality of member search results is to be displayed, for the member identified in each of the plurality of member search results, the member profile corresponding to the member is parsed to extract a third set of one or more features from the member profile, activity and usage information pertaining to actions taken by the members on the social networking service is parsed to extract a fourth set of one or more features, and the extracted third set of features and fourth set of features is inputted into the communication reply score model to generate a communication reply score, which is displayed visually to a searcher..
Linkedin Corporation

Method, system and apparatus using field learning to upgrade trending sensor curves into fuel gauge based visualization of predictive maintenance by user driven feedback mechanism

A field learning system comprising a system of feedback uses a user interface in web based and mobile applications to overcome the difficulty and infeasibility of supervised machine learning systems used for modeling failure states of machines. .
Prophecy Sensors, Llc

Variations in experiment graphs for machine learning

Executing a graph. A method includes identifying that a graph includes one or more nodes having input ports that are coupled to alternative inputs.
Microsoft Technology Licensing, Llc

Precaching via input method trajectory prediction

Architecture that processes preemptive events for an application that trigger based on user interaction movements of a specific input method (e.g., a mouse pointer) in a virtual document of the application. machine learning is employed to predict and identify a target element the user will select in the virtual document.
Microsoft Technology Licensing, Llc

Predictive analytics architecture for event processing

Techniques described herein include an event notification processing platform configured to provide users with recommendations in relative real-time based on generated event notifications. In some embodiments, an event source associated with one or more users may generate an event notification, indicating that an event has occurred with respect to a user.
Beijing Chuangxin Journey Network Technology Co., Ltd

Unsupervised high-dimensional behavioral data classifier

Methods for classifying subjects and analyzing the relation between subject classification and multiple features of the subjects are provided. Some embodiments of the disclosure provide processes that use clustering analysis as an unsupervised machine learning technique to classify subjects based on multiple features.
The Regents Of The University Of California

Scalable image matching

Various embodiments may increase scalability of image representations stored in a database for use in image matching and retrieval. For example, a system providing image matching can obtain images of a number of inventory items, extract features from each image using a feature extraction algorithm, and transform the same into their feature descriptor representations.
A9.com, Inc.

Machine training and search engine for providing specialized cognitive healthcare apparatus

Training a machine to provide specialized health care apparatus may include receiving text describing a user's health condition via a user interface. Text may be converted into corresponding medical terms.
International Business Machines Corporation

Classification and identification of disease genes using biased feature correction

Embodiments of the present invention provide methods, computer program products, and systems for classification and identification of cancer genes while correcting for sample bias for tumor-derived genomic features as well as other biased features using machine learning techniques. Embodiments of the present invention can be used to receive a set of genes that include a first gene and a subset of synthetic genes that include similar features to the first gene and receive a set of gene labels associated with physiological characteristics.
International Business Machines Corporation

Multi-media context language processing

Technology is disclosed that improves language processing engines by using multi-media (image, video, etc.) context data when training and applying language models. Multi-media context data can be obtained from one or more sources such as object/location/person identification in the multi-media, multi-media characteristics, labels or characteristics provided by an author of the multi-media, or information about the author of the multi-media.
Facebook, Inc.

Dynamic recompilation techniques for machine learning programs

The embodiments described herein relate to recompiling an execution plan of a machine-learning program during runtime. An execution plan of a machine-learning program is compiled.
International Business Machines Corporation



Machine Learning topics:
  • Machine Learning
  • Artificial Intelligence
  • Fingerprint
  • Networking
  • Social Networking
  • Social Network
  • Configuration Item
  • Physical Layer
  • Cognitive Radio
  • Network Topology
  • Distributed
  • Search Engine
  • Executable
  • Data Mining
  • Web Services


  • Follow us on Twitter
    twitter icon@FreshPatents

    ###

    This listing is a sample listing of patent applications related to Machine Learning for is only meant as a recent sample of applications filed, not a comprehensive history. There may be associated servicemarks and trademarks related to these patents. Please check with patent attorney if you need further assistance or plan to use for business purposes. This patent data is also published to the public by the USPTO and available for free on their website. Note that there may be alternative spellings for Machine Learning with additional patents listed. Browse our RSS directory or Search for other possible listings.


    1.7892

    file did exist - 13254

    1 - 1 - 252