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Machine Learning patents

      

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

SALE: 350+ Machine Learning-related patent PDFs



 Optimized routing of interactions to contact center agents based on machine learning patent thumbnailOptimized routing of interactions to contact center agents based on machine learning
A system that is adapted to route interactions to contact center agents. More specifically, the system is adapted to identify an interaction to be routed, and identify a group of agents based on one or more constraints for generating one or more candidate agents.
Genesys Telecommunications Laboratories, Inc.


 Machine learning  learning correction value in motor current control, correction value computation apparatus including machine learning apparatus and motor driving apparatus patent thumbnailMachine learning learning correction value in motor current control, correction value computation apparatus including machine learning apparatus and motor driving apparatus
A machine learning apparatus includes: a state observation unit that observes a state variable including an error between a position command and an actual position of a rotor, temperature of a motor driving apparatus and the motor, and voltage of each part of the motor driving apparatus; and a learning unit that learns a current feedback offset correction value for correcting an offset in the current feedback value, an inter-current-feedback-phase unbalance correction value for correcting an unbalance between phases in the current feedback value, and a current command correction value for a dead zone for correcting a current command in order to compensate a decreased amount of current due to a dead zone by which switching elements of upper and lower arms in the same phase of an inverter for motor power supply are not simultaneously turned on, in accordance with a training data set defined by the state variable.. .
Fanuc Corporation


 Machine learning-based model for identifying executions of a business process patent thumbnailMachine learning-based model for identifying executions of a business process
Described herein are systems, methods, and computer programs that may be utilized to identify a sequence corresponding to an execution of a business processes (bp) using a machine learning-based model of the bp generated based on sequences corresponding to previous executions of the bp by a plurality of organizations. In one embodiment, a sequence parser module receives one or more streams of steps performed during interactions with an instance of a software system, which belongs to a certain organization, and selects, from among the one or more streams, candidate sequences of steps.
Panaya Ltd.


 Common feature protocol for collaborative machine learning patent thumbnailCommon feature protocol for collaborative machine learning
The disclosed embodiments provide a system for processing data. During operation, the system obtains a hierarchical representation containing a set of namespaces of a set of features shared by a set of statistical models.
Linkedin Corporation


 Annotating text using emotive content and machine learning patent thumbnailAnnotating text using emotive content and machine learning
A natural language text is received from a user. The natural language text includes typing characteristics metadata.
International Business Machines Corporation


 Machine learning of predictive models using partial regression trends patent thumbnailMachine learning of predictive models using partial regression trends
An input is selected from a set of inputs used by a prediction model to produce an initial predicted value of an outcome. A changed predicted value of the outcome is produced by removing the selected input from the inputs to the model.
International Business Machines Corporation


 Process control techniques for semiconductor manufacturing processes patent thumbnailProcess control techniques for semiconductor manufacturing processes
Techniques for measuring and/or compensating for process variations in a semiconductor manufacturing processes. machine learning algorithms are used on extensive sets of input data, including upstream data, to organize and pre-process the input data, and to correlate the input data to specific features of interest.
Stream Mosaic, Inc.


 System and  performing authentication using data analytics patent thumbnailSystem and performing authentication using data analytics
A system, apparatus, method, and machine readable medium are described for performing authentication using data analytics such as machine learning. For example, one embodiment of a method comprises: selecting a set of parameters related to user activity on a client device; receiving a request to authenticate the user for a current transaction; responsively calculating a distance between parameters associated with the current transaction and historical parameters from an existing dataset; determining a risk level associated with the current transaction based on the calculated distances between the parameters associated with the current transaction and the historical parameters; selecting one or more authentication techniques required to authenticate the user based on the risk level; performing the one or more authentication techniques to attempt to authenticate the user and generating an authentication result; and updating the historical parameters using the parameters associated with the current transaction and the authentication result..
Nok Nok Labs, Inc.


 System and methods for characterizing a fabric or material patent thumbnailSystem and methods for characterizing a fabric or material
Embodiments of the inventive apparatus, including the associated data collection and processing methods, may be used to measure and evaluate various characteristics of a fabric or other material. Those characteristics may then be used directly or indirectly (such as after being subjected to further data processing, signal processing, machine learning, statistical analysis, etc.) to populate one or more parameters of a mathematical model of the fabric/material or a garment constructed from the same.
Dimensionalmechanics, Inc.


 Annotating text using emotive content and machine learning patent thumbnailAnnotating text using emotive content and machine learning
A natural language text is received from a user. The natural language text includes typing characteristics metadata.
International Business Machines Corporation


Anomaly detection in a network coupling state information with machine learning outputs

In one embodiment, a device in a network receives an output of an anomaly detection model. The device receives state information surrounding the output of the anomaly detection model.
Cisco Technology, Inc.

Accurately determining real time parameters describing vehicle motion based on multiple data sources

A multi-modal meter of a vehicle obtains information from multiple sources to determine the most accurate values of motion parameters of the vehicle. The multi-modal meter obtains data describing motion of a vehicle from various sources including an on-board diagnostics (obd) and global positioning system (gps.) the dynamically evaluates the signal sources for their accuracy as the vehicle travels.
Flywheel Software, Inc.

Method and system of determining an optimal value of an auction parameter for a digital object

There is disclosed a method of determining an optimal value of an auction parameter for a digital object. The method comprises using: an indication of a digital object, an auction parameter associated with the digital object and an environment feature at the respective moment of time to execute an offline training of a machine learning algorithm to predict an optimal value of auction parameters for a plurality of digital objects, the plurality of digital objects being associated with the interaction history of the first portion of users.
Yandex Europe Ag

Methods, systems, and media for recommending content items based on topics

Mechanisms for recommending content items based on topics are provided. In some implementations, a method for recommending content items is provided that includes: determining a plurality of accessed content items associated with a user, wherein each of the plurality of content items is associated with a plurality of topics; determining the plurality of topics associated with each of the plurality of accessed content items; generating a model of user interests based on the plurality of topics, wherein the model implements a machine learning technique to determine a plurality of weights for assigning to each of the plurality of topics; applying the model to determine, for a plurality of content items, a probability that the user would watch a content item of the plurality of content items; ranking the plurality of content items based on the determined probabilities; and selecting a subset of the plurality of content items to recommend to the user based on the ranked content items..
Google Inc.

Machine learning based determination of accurate motion parameters of a vehicle

A multi-modal meter of a vehicle obtains information from multiple sources to determine the most accurate values of motion parameters of the vehicle. The multi-modal meter obtains data describing motion of a vehicle from various sources including an on-board diagnostics (obd) and global positioning system (gps.) the dynamically evaluates the signal sources for their accuracy as the vehicle travels.
Flywheel Software, Inc.

Machine learning platform for performing large scale data analytics

To address problems that video imaging systems and platforms face when analyzing image and video content for detection and feature extraction, a solution is provided in which accumulating significant amounts of data suitable for training and learning analytics is leveraged to improve over time, the classifiers used to perform the detection and feature extraction, by employing a larger search space and generate additional and more complex classifiers through distributed processing. A distributed learning platform is therefore provided, which is configured for operating on large scale data, in a true big data paradigm.
Miovision Technologies Incorporated

Blockchain system for natural language processing

A blockchain configured system includes a router and a blockchain configured record bank. The router collects data and converts it in a format in accordance with a defined standard.
Netspective Communications Llc

Temporal translation grammar for language translation

In language translation and intent understanding scenarios, the automated translation of expressions including temporal elements (e.g., calendar dates, date ranges, times, and durations) may be achieved by an implementation of translation techniques, such as compiled rule sets and/or machine learning recognizers that have been trained with a training set. However, sharing development resources among various implementations may be difficult; e.g., updates that extend a rule set for application of the translation techniques to a new context may be difficult to utilize while updating a machine learning recognizer.
Microsoft Technology Licensing, Llc

Personalized notifications for mobile applications users

Personalized interrupt mechanism for users of computing devices where users may specify when and how they choose to be interrupted by mobile applications, games, in-app and in-game events, email, text, and other notifications based on application context and user preference. In some implementations, criteria for interruptions may be refined using machine learning techniques..
Interdigital Technology Corporation

Method and system for data breach and malware detection

Detecting cyber threat and malware, particularly zero-day malware is a major challenge for the security community. Signature-based methods of cyber threat and malware detection are unable to detect zero-day malware.
Efficient Protection Inc.

Dynamic deep packet inspection for anomaly detection

In one embodiment, a device in a network captures a first set of packets based on first packet capture criterion. The captured first set of packets is provided for deep packet inspection and anomaly detection.
Cisco Technology, Inc.

Probabilistic message distribution

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, solving, for a set of input messages, a multi-objective optimization problem to minimize a number of messages to send while satisfying one or more constraints, selecting a random value for a message in the set, setting a send constraint for the message in the set using the send threshold for the message in the set and the random value, and sending the message in the set in response to the send constraint being satisfied.. .
Linkedin Corporation

Modifying at least one attribute of an image with at least one attribute extracted from another image

In various implementations, one or more specific attributes found in an image can be modified utilizing one or more specific attributes found in another image. machine learning, deep neural networks, and other computer vision techniques can be utilized to extract attributes of images, such as color, composition, font, style, and texture from one or more images.
Adobe Systems Incorporated

Determination of font similarity

Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images.
Adobe Systems Incorporated

Font recognition using text localization

Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images.
Adobe Systems Incorporated

Font attributes for font recognition and similarity

Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images.
Adobe Systems Incorporated

Searching using specific attributes found in images

In various implementations, specific attributes found in images can be used in a visual-based search. Utilizing machine learning, deep neural networks, and other computer vision techniques, attributes of images, such as color, composition, font, style, and texture can be extracted from a given image.
Adobe Systems Incorporated

System component failure diagnosis

System component failure diagnosis is provided. In response to determining that a number of component failure cases corresponding to a complex system stored in a historical diagnosis database is less than a pre-defined threshold number of component failure cases, a system component failure root cause is predicted using a rule-based reasoning method.
International Business Machines Corporation

Dynamic sorting and inference using gesture based machine learning

The technology disclosed relates to identification of future activity options. In particular, it relates to identifying future activity options that are similar to a selected future activity, similar to past activities, that meet descriptive language criteria, that form compatible sequences of activities, or that form compatible multi-day sequences of activities.
Mr. Buzz, Inc., Dba Weotta

Completion design optimization using machine learning and big data solutions

Systems and methods for generating and storing completion design models in a central data repository of modems for completion design, well bore (such as fracturing or drilling) or other operations is shown. In one embodiment, the methods comprise identifying parameters of a hydraulic fracturing operation within a subterranean formation; generating a completion design model based on the parameters of the hydraulic fracturing operation; storing the completion design model in a central data repository of models; generating the central data repository of models; wherein the data repository is based on previously generated models for one or more other subterranean formations having varying levels of uncertainty for expected output; reducing the level of uncertainty for the expected output based on completion parameters, wherein the completion parameters are used to update the central data repository of models; accessing the central data repository of models to predict results expected for a data set based at least in part on the central data repository of models, wherein the results comprise a prediction as to a level of output for the dataset, further wherein the prediction comparison results in an identification of the optimized completion design for the dataset.

Machine learning apparatus and coil electric heating apparatus

A machine learning apparatus includes a state observing unit and a learning unit. The state observing unit observes a state variable comprised of at least one of an adhesion state, a dielectric strength voltage, an electric heating time temperature, and an actual electric heating time value of a coil electrically heated by a coil electric heating unit, and at least one of an electric heating time command value, a voltage, and a current in the coil electric heating unit.
Fanuc Corporation

Freight vehicle monitoring using telecommunications data

A method for freight vehicle monitoring includes obtaining historical telecommunications data, performing vehicle location identification using the historical telecommunications data, wherein performing the vehicle location identification comprises using a machine learning based algorithm to determine one or more meaningful vehicle locations, identifying, based on the one or more meaningful vehicle locations, if one or more telecommunications devices are those of a freight vehicle occupant, and tracking a location of the one or more telecommunications devices identified as those of a freight vehicle occupant.. .
International Business Machines Corporation

Feature based bitrate allocation in non-backward compatible multi-layer codec via machine learning

Novel methods and systems for non-backward compatible video encoding are disclosed. The bitrates of the base layer and enhancement layer are dynamically assigned based on features found in scenes in the video compared to a machine learned quality classifier..
Dolby Laboratories Licensing Corporation

Video feature tagging

An activity recording system is provided. The activity recording system includes a three-dimensional camera, a sensor arrangement that is fitted to a subject being recorded, and an activity recording device.

Application phenotyping

A collection of techniques is disclosed to allow for the detection of malware that leverages pattern recognition and machine learning to effectively provide “content-less” malware detection, i.e., detecting a process as being an ‘anomaly’ not based on its particular content, but instead based on comparisons of its behavior to known (and characterized) ‘trusted’ application behaviors, i.e., the trusted applications' “phenotypes” and/or the phenotypes of known malware applications. By analyzing the patterns of normal behavior performed by trusted applications as well as malware applications, one can build a set of sophisticated, content-agnostic behavioral models (i.e., “application phenotypes”)—and later compare the processes executed on a user device to the stored behavioral models to determine whether the actual measured behavior reflects a “good” application, or if it differs from the stored behavioral models to a sufficient degree and with a sufficient degree of confidence, thus indicating a potentially malicious application or behavior..
Mcafee, Inc.

System and assessing streaming video quality of experience in the presence of end-to-end encryption

Systems and method can determine a quality of experience metric associated with a video stream being played at a terminal node when packets conveying the video stream are encrypted. Packets associated with a video stream are received at the terminal from a video server.
Wi-lan Labs, Inc.

Machine learning learning arrangement position of magnet in rotor and rotor design apparatus including machine learning apparatus

A machine learning apparatus, which learns a condition associated with arrangement positions of magnets on a core of a motor rotor, includes: a state observation unit that observes a state variable composed of data relating to arrangement positions of a plurality of the magnets arranged on the core, data relating to a magnitude of cogging torque generated when the plurality of the magnets are arranged at the respective arrangement positions, and data relating to a magnetic flux density of each of the magnets; and a learning unit that learns the condition associated with the arrangement positions of the magnets on the core in accordance with a training data set constituted by the state variable.. .
Fanuc Corporation

Production equipment including machine learning system and assembly and test unit

Production equipment according to an embodiment of the present invention includes a machine learning system and an assembly and test unit. The assembly and test unit chooses components from component groups having different characteristic values, assembles the chosen components into a product, and tests the assembled product.
Fanuc Corporation

Machine learning apparatus and coil producing apparatus

A machine learning apparatus includes a state observing unit for observing a state variable comprised of at least one of an actual dimension value, a resistance actual value, etc., and at least one of a dimension command value, a resistance command value, etc., and an execution time command value for a program, and a learning unit for performing a learning operation by linking at least one of an actual dimension value, a resistance actual value, etc., to at least one of a dimension command value, a resistance command value, etc., observed by the state observing unit, and an execution time command value for the program.. .
Fanuc Corporation

Motor drive apparatus equipped with fan motor preventive maintenance function

A motor drive apparatus equipped with a machine learning device comprises a fan motor and an alarm output unit which provides an indication that it is time to replace the fan motor, wherein the machine learning device comprises a state observing unit which observes the number of revolutions of the fan motor, a reward calculating unit which calculates a reward based on the time that the alarm output unit output an alarm and the time that the fan motor actually failed, an artificial intelligence which judges action value based on an observation result supplied from the state observing unit and on the reward calculated by the reward calculating unit, and a decision making unit which, based on the result of the judgment made by the artificial intelligence, determines whether or not to output an alarm from the alarm output unit.. .
Fanuc Corporation

System and network bandwidth aware distributed learning

A machine learning method includes connecting machines in a data-center using a network aware model consistency for stochastic applications; ensuring a communication graph of all machines in the data-center is connected; propagating all updates uniformly across the cluster without update; and preferring connections to a machine with first network throughput over machines with second network throughput smaller than the first network throughput.. .
Nec Laboratories America, Inc.

Machine learning device and optimizing frequency of tool compensation of machine tool, and machine tool having the machine learning device

A machine learning device and a machine learning method for optimizing timing at which a tool is to be compensated in a machine tool, and a machine tool including the machine learning device. The machine learning device includes a state observation unit for observing a time interval for compensating the tool, a processing error amount of a workpiece processed by the machine tool, and a machine working ratio of the machine tool as state variables, and a learning unit for learning an action value with respect to a change of a tool compensation interval based on the tool compensation interval, the processing error amount of a workpiece, and the machine working ratio that are observed by the state observation unit..
Fanuc Corporation

System framework processor for channel contacts

Embodiments of the invention are directed to a system, method, or computer program product for a framework processing for channel contacts data such as interaction data. In this way, the invention receives and processes raw interaction data from one or more deployed micro services.
Bank Of America Corporation

Method for performing a cognitive machine learning operation

A cognitive learning method comprising receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive machine learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive machine learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and, updating a destination based upon the learning result.. .
Cognitive Scale, Inc.

Cognitive machine learning system

A cognitive information processing system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive machine learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive machine learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and, updating a destination based upon the learning result.. .
Cognitive Scale, Inc.

Using classification data as training set for auto-classification of admin rights

An identity and access management iam system is augmented to provide for supervised, iterative machine learning (ml), preferably with a user-generated training set for classification. The training set may include various types of data, including characteristics or attributes of the account types, the users, or the like.
International Business Machines Corporation

Technologies for platform-targeted machine learning

Technologies for platform-targeted machine learning include a computing device to generate a machine learning algorithm model indicative of a plurality of classes between which a user input is to be classified and translate the machine learning algorithm model into hardware code for execution on the target platform. The user input is to be classified as being associated with a particular class based on an application of one or more features to the user input, and each of the one or more features has an associated implementation cost indicative of a cost to perform on a target platform on which the corresponding feature is to be applied to the user input..

Version control for asynchronous distributed machine learning

The disclosed embodiments provide a system and method for performing version control for asynchronous distributed machine learning. During operation, the system transmits a first global version of a statistical model to a set of client computer systems.
Linkedin Corporation

Intent platform

Techniques for determining online content to provide to a member of an online social networking service based on their explicit and/or inferred intent are described. According to various embodiments, member profile data and user behavior log data associated with a member of an online social networking service is accessed.
Linkedin Corporation

Technologies for automated context-aware media curation

Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data.

Selective backpropagation

The balance of training data between classes for a machine learning model is modified. Adjustments are made at the gradient stage where selective backpropagation is utilized to modify a cost function to adjust or selectively apply the gradient based on the class example frequency in the data sets.
Qualcomm Incorporated

Method, apparatus and system for biometric identification

Method and apparatus for processing a biometric measurement signal using a computing device, including receiving a biometric measurement signal generated by contact with a single individual, extracting at least one periodic fragment from the biometric measurement signal, generating first feature data at least partially based on the at least one extracted periodic fragment, determining second feature data from the first feature data by removing data from the first feature data using robust principal component analysis, determining whether a match exists between the second feature data and defined biometric data associated with a known individual by processing the second feature data and the defined biometric data using a machine learning technique, and in response to determining a match exists between the second feature data and the defined biometric data, transmitting a signal indicating that the single individual is the known individual.. .
Huami Inc.

Organizational logo enrichment

In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted second plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo.
Linkedin Corporation

Machine learning statistical methods estimating software system's security analysis assessment or audit effort, cost and processing decisions

A method, system and computer-usable medium for generating a security analysis effort, cost and process scope estimates, comprising: analyzing a software system; identifying a complexity level of a security analysis, the complexity level of the security analysis comprising identification of an effort level for the security analysis; and, generating the security analysis effort estimate, the security analysis effort estimate comprising an estimate of an effort expenditure to perform a security analysis on the software system at the identified complexity level.. .
International Business Machines Corporation

Use of recurrent copy number variations in the constitutional human genome for the prediction of predisposition to cancer

In this invention, prediction on the predisposition of a human test subject to cancer is made based on machine learning-assisted comparison of the copy number variations (“cnv”) found in the constitutional dna of the test subject with a set of diagnostic recurrent cnv features (viz. Markers) selected from a collection of constitutional dna samples from noncancer subjects (designated as “noncancer dna” samples) plus constitutional dna samples from cancer patients (designated as “cancer dna” samples), all from the same ethnic group as the test subject.
Pharmacogenetics Limited

Organizational url enrichment

In an example embodiment, an organization name is retrieved from an organization name field of a first record. A web search is performed using the organization name, producing web search results.
Linkedln 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


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