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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



new patent Automatic customer complaint resolution
An analytic application may automatically determine a root cause of an issue with a wireless carrier network and generate a solution for the root cause. Initially, a data management platform may receive performance data regarding user device and network components of a wireless carrier network from multiple data sources.
Tupl, Inc.


new patent System and ambient/pervasive user/healthcare experience
A system and method of ambient/pervasive user experience (including healthcare) is described, utilizing (a) super system on chip(s), (b) intelligent/machine learning algorithm(s), (c) high resolution holographic display(s), (d) augmented reality devices and/or (f) point of care diagnostics system(s).. .

new patent System and determining credit worthiness of a user
Disclosed is a method and system for determining credit worthiness of a user on an online platform. The system may comprise a user device further comprising a memory coupled with a processor.
Mb Technology Partners Ltd.


new patent Distributed machine learning analytics framework for the analysis of streaming data sets from a computer environment
Embodiments of the present innovation relate to a host device that includes a configured to receive a set of data elements from a computer infrastructure, the set of data elements relating to at least one attribute of at least one computer environment resource of the computer infrastructure. The controller is configured to assign each data element of the set of data elements to a data retention location based upon a time statistic identifier associated with each data element of the set of data elements and to compare a training data set and the data elements associated with a selected data retention location to detect a data anomaly associated with the set of data elements.
Sios Technology Corporation


new patent Machine learning of physical conditions based on abstract relations and sparse labels
A method for determining specific conditions occurring on industrial equipment based upon received signal data from sensors attached to the industrial equipment is provided. Using a server computer system, signal data is received and aggregated into feature vectors.
Falkonry Inc.


new patent System and feature generation over arbitrary objects
There is provided a method for generating features for use in an automated machine learning process, comprising: receiving a first training dataset comprising unclassified raw data instances each including a set of objects of arbitrary types; applying a function to each data instance to calculate a set of first results; generating a set of classification features each including the function for application to a newly received data instance to calculate a second result, and a condition defined by a respective member of the set of first results applied to the second result; applying each classification feature to each instance of an unclassified second training dataset to generate a set of extracted features; selecting a subset of pivotal classification features from the set of classification features according to a correlation requirement between classification variable(s) and each respective member of the set of extracted features; and documenting the subset of pivotal features.. .
Sparkbeyond Ltd.


new patent Systems and methods for secondary knowledge utilization in machine learning
There is provided a method for combining datasets, comprising: receiving a primary training dataset; receiving unclassified secondary dataset(s) comprising secondary data instances including secondary fields; identifying, for a first set of values of primary field(s) of training dataset, a second set of secondary fields of the secondary datasets according to the first set of values matched to corresponding values in respective secondary field(s) of secondary dataset(s) according to a matching requirement; linking each respective matched values to other secondary fields of the respective matched secondary field; generating a set of classification features based at least on the linked secondary fields; selecting a subset of pivotal classification features according to a correlation requirement; identifying a subset of pivotal secondary fields based on the secondary fields associated with each pivotal classification feature; and documenting the selected subset of pivotal features for use in an automated machine learning process.. .
Sparkbeyond Ltd.


new patent Parameter-dependent model-blending with multi-expert based machine learning and proxy sites
A parameter-based multi-model blending method and system are described. The method includes selecting a parameter of interest among parameters estimated by each of a set of individual models, running the set of individual models with a range of inputs to obtain a range of estimates of the parameters from each of the set of individual models, and identifying, for each of the set of individual models, critical parameters among the parameters estimated, the critical parameters exhibiting a specified correlation with an error in estimation of the parameter of interest.
International Business Machines Corporation


new patent Parameter-dependent model-blending with multi-expert based machine learning and proxy sites
A parameter-based multi-model blending method and system are described. The method includes selecting a parameter of interest among parameters estimated by each of a set of individual models, running the set of individual models with a range of inputs to obtain a range of estimates of the parameters from each of the set of individual models, and identifying, for each of the set of individual models, critical parameters among the parameters estimated, the critical parameters exhibiting a specified correlation with an error in estimation of the parameter of interest.
International Business Machines Corporation


new patent Parameter-dependent model-blending with multi-expert based machine learning and proxy sites
A parameter-based multi-model blending method and system are described. The method includes selecting a parameter of interest among parameters estimated by each of a set of individual models, running the set of individual models with a range of inputs to obtain a range of estimates of the parameters from each of the set of individual models, and identifying, for each of the set of individual models, critical parameters among the parameters estimated, the critical parameters exhibiting a specified correlation with an error in estimation of the parameter of interest.
International Business Machines Corporation


new patent

Self-adaptive cache architecture based on run-time hardware counters and offline profiling of applications

Aspects include computing devices, systems, and methods for implementing generating a cache memory configuration. A server may apply machine learning to context data.
Qualcomm Incorporated

new patent

Apparatus and leveraging semi-supervised machine learning principals to perform root cause analysis and derivation for remediation of issues in a computer environment

Embodiments of the innovation relate to a host device having a memory and a processor, the host device configured to determine an anomaly associated with an attribute of a computer environment resource of the computer infrastructure. The host device is configured to correlate an object associated with the attribute of the detected anomaly with a related object of the computer infrastructure.
Sios Technology Corporation

User text content correlation with location

A predictive modelling system for predicting location data from user textual data comprising: an input for receiving user data, the user data comprising user textual data and location data; a pre-processing module arranged to correlate user textual data with location data to form a set of correlated data; a training module arranged to use the set of correlated data to train a machine learning algorithm such that the algorithm is arranged to output predicted location data from an input textual query.. .
Jaguar Land Rover Limited

Automatically generating service documentation based on actual usage

A computer system automatically generates service documentation based on usage of a web service. The computer system captures network traffic including actual requests to a service endpoint of the web service and actual responses from the service endpoint of the web service.
Microsoft Technology Licensing, Llc

Predictive diagnosis of sla violations in cloud services by seasonal trending and forecasting with thread intensity analytics

Data can be categorized into facts, information, hypothesis, and directives. Activities that generate certain categories of data based on other categories of data through the application of knowledge which can be categorized into classifications, assessments, resolutions, and enactments.
Oracle International Corporation

Machine learning dialect identification

Technology is disclosed for creating and tuning classifiers for language dialects and for generating dialect-specific language modules. A computing device can receive an initial training data set as a current training data set.
Facebook, Inc.

Atmospheric channel characterization system and method using target image information

A system and method involve transmitting, using an optical device, a plurality of optical pulses into an atmospheric propagation channel towards a target object. Using an imaging device, more than one optical signals and an image of the target object are detected from the atmospheric propagation channel.
The United States Of America As Represented By The Secretary Of The Navy

Methods and systems for applying machine learning to automatically solve problems

A method for receiving a description of a problem and applying machine learning to automatically solve the problem includes receiving, by a first computing device, from a second computing device, via a user interface component, a description of a first problem. The method includes assigning, by a clustering engine executing on the first computing device, the first problem to a class.
Sunview Software, Inc.

Alternative training distribution based on density modification

Technologies are generally described for methods and systems in a machine learning environment. In an example, a method may include receiving training data and test data.
California Institute Of Technology

Internet of things based determination of machine reliability and automated maintainenace, repair and operation (mro) logs

A computer implemented method and system for determining reliability of a machine includes receiving one of a machine data from one or more locations through an internet of things (iot) based machine wearable sensor network. The method further includes storing the data in a distributed computer database communicatively coupled to an enterprise resource planning (erp) system and extracting, through a computer server, one or more entity information from the data to compare against a pre-defined baseline.

Learning word embedding using morphological knowledge

In some examples, a machine learning system may use morphological knowledge to enhance a deep learning framework for learning word embedding. The system may consider, among other things, morphological similarities between and among words in a learning process so as to handle new or rare words, edit distances, longest common substring similarities, morpheme similarities, and syllable similarities as morphological knowledge to build a relation matrix between or among words.
Microsoft Technology Licensing, Llc

Context-based priors for object detection in images

Context-based priors are utilized in machine learning networks (e.g., neural networks) for detecting objects in images. The likely locations of objects are estimated based on context labels.
Qualcomm Incorporated

Hybrid human machine learning system and method

Embodiments of the present invention provide a system, method, and article of hybrid human machine learning system with tagging and scoring techniques for sentiment magnitude scoring of textual passages. The combination of machine learning systems with data from human pooled language extraction techniques enable the present system to achieve high accuracy of human sentiment measurement and textual categorization of raw text, blog posts, and social media streams.
Moodwire, Inc.

Navigational control of robotic systems and other computer-implemented processes using developmental network with turing machine learning

The developmental network incorporates a turing machine that injects teaching instructions directly into the skull-closed network. The developmental network can also autonomously learn directly from the natural world without the need for a human to encode its input and output.
Board Of Trustees Of Michigan State University

Cognitive intelligence platform for distributed m2m/ iot systems

Systems and methods to leverage and manage data and knowledge in a m2m or internet of things (iot) network are provided. More particularly, a cognitive intelligence platform for an iot network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided.

Renewable energy integrated storage and generation systems, apparatus, and methods with cloud distributed energy management services

A software platform in communication with networked distributed energy resource energy storage apparatus, configured to deliver various specific applications related to offset demand monitoring, methods of virtual power plant and orchestration, load shaping services, methods of reducing demand at aggregated level, prioritizing computer programs related to virtual energy pool, energy cloud controllers methods, charge discharge orchestration plans of electric vehicles, distributed energy resources, machine learning predictive algorithms, value optimizing algorithms, autonomous sensing event awareness, mode selection methods, capacity reservation monitoring, virtual power plant methods, advanced der-es apparatus features, energy management system for governing resources and methods, aggregated energy cloud methods, load shaping methods, marginal cost cycle-life degradation, load shaping api, forward event schedule, on demand request, and load service state request methods. Various rules, constraints of predictive algorithms for signal inputs to determine incremental storage cycles, cycle life degradation marginal cost, iterative and forward event schedule development, and load control..

Data driven classification and data quality checking method

A method for improving accuracy and quality of received data is provided. The method provides a computer implemented data driven classification and data quality checking system.
The Boeing Company

Data driven classification and data quality checking system

A computer implemented data driven classification and data quality checking system is provided. The system has an interface application enabled to receive data and has an associative memory software.
The Boeing Company

Long-term healthcare cost predictions using future trajectories & machine learning

The disclosed technology includes a system for modeling progression of lifetime healthcare expenses, including healthcare events resulting in an out-of-pocket expenditure per a given healthcare plan, wherein each healthcare event is associated with a group of healthcare events. Each group of healthcare events is associated with different sets of certainty with different groups of individuals.
Dzee Solutions, Inc.

Identifying fall risk using machine learning algorithms

A person's fall risk may be determined based on machine learning algorithms. The fall risk information can be used to notify the person and/or a third party monitoring person (e.g.
Ishoe, Inc.

Content-based zooming and panning for video curation

Devices, systems and methods are disclosed for identifying content in video data and creating content-based zooming and panning effects to emphasize the content. Contents may be detected and analyzed in the video data using computer vision, machine learning algorithms or specified through a user interface.
Amazon Technologies, Inc.

Automatic determination of caller identification data in outgoing calls

Automatic determination of caller identification information and encoding of such information in outgoing data requests, such a api calls to a call management component, are disclosed herein. The caller identification information may be determined by analyzing information associated with a call target to determine if the target has a custom outbound telephone number assigned, was contacted through a specific campaign, has local geographic data, is being called from a specific entity, or is being made from a call originator with a specific outbound number set.
Velocify, Inc.

Relating acoustic features to musicological features for selecting audio with similar musical characteristics

A content server uses a form of artificial intelligence such as machine learning to identify audio content with musicological characteristics. The content server obtains an indication of a music item presented by a client device and obtains reference music features describing musicological characteristics of the music item.
Pandora Media, Inc.

Weight benefit evaluator for training data

Technologies are generally described for methods and systems effective to determine a weight benefit associated with application of weights to training data in a machine learning environment. In an example, a device may determine a first function based on the training data, where the training data includes training inputs and training labels.
California Institute Of Technology

Machine learning classification on hardware accelerators with stacked memory

A method is provided for processing on an acceleration component a machine learning classification model. The machine learning classification model includes a plurality of decision trees, the decision trees including a first amount of decision tree data.
Microsoft Technology Licensing, Llc

Collaborative feature learning from social media

The present disclosure is directed to collaborative feature learning using social media data. For example, a machine learning system may identify social media data that includes user behavioral data, which indicates user interactions with content item.
Adobe Systems Incorporated

Provisioning service requests in a computer system

Disclosed is a system, computer program product, and method for provisioning a new service request. The computer-implemented method begins with receiving a new service request for computational resources in a computing system.
International Business Machines Corporation

Behavior recognition and automation using a mobile device

Signals representing local events and/or state are captured at a mobile device and utilized by a machine learning system to recognize patterns of user behaviors and make predictions to automatically launch an application, initiate within-application activities, or perform other actions. The local signals may include, for example, location information such as geofence crossings; alarm settings; use of network connections like wi-fi, cellular, and bluetooth®; device state such as battery level, charging status, and lock screen state; device movement indicating that the device user may be driving, walking, running, or stationary; audio routing such as headphones being used; telemetry data from other devices; and application state including launches and within-application activities.
Microsoft Technology Licensing, Llc

Methods and systems using mathematical analysis and machine learning to diagnose disease

Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart).
Analytics For Life

Risk identification and risk register generation system and engine

The present invention relates to a computer-based system for generating a risk register relating to a named entity. The system comprises a computing device, a risk database accessible by the computing device and having stored therein a set of risk types based on an induced taxonomy of risk types previously derived at least in part upon operation of a machine learning module, an input adapted to receive a set of source data, the set of source data being in electronic form and representing textual content comprising potential risk phrases, a entity-risk relation classifier adapted to identify and extract entity-risk relations from the set of source data, a risk tagger adapted to identify in the set of source data a set of risk candidates (ri) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (ci) in the set of source data, and a risk register aggregator adapted to generate a first risk register based on the set of tuples associated with a first entity..
Thomson Reuters Global Resources

Systems and methods to facilitate local searches via location disambiguation

Systems and methods use machine learning techniques to resolve location ambiguity in search queries. In one aspect, a dataset generator generates a training dataset using query logs of a search engine.
At&t Intellectual Property I, L.p.

Quality-directed adaptive analytic retraining

A quality-directed adaptive analytic retraining is provided. Training example data with which to retrain a machine learning model that has been previously trained is received.
International Business Machines Corporation

System and creating biologically based enterprise data genome to predict and recommend enterprise performance

Briefly described, embodiments of the present invention pertains to a key performance indicator (kpi)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone kpi applications or pure-play centralized kpi solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques..

Methods of predicting pathogenicity of genetic sequence variants

Recent developments in cost-effective dna sequencing allows for individualized genomic screening of a subject for genetic sequence variants. Training a pathogenicity prediction model using semi-supervised training methods produces a better model for predicting the pathogenicity of a test genetic sequence variant.
Counsyl, Inc.

Composing and executing workflows made up of functional pluggable building blocks

A platform that provides a way to automatically compose and execute even complex workflows without writing code is described. A set of pre-built functional building blocks can be provided.
Microsoft Technology Licensing, Llc

Grouping wireless devices in a communications network

There is provided mechanisms for grouping wireless devices of a cell of a communications network. A method is performed by a system in the communications network.
Telefonaktiebolaget L M Ericsson (publ)

Video editing system and method using machine learning

A video editing system and method using machine learning are described. In one embodiment, the video editing system comprises editing processing logic controllable to perform at least one edit on one or more raw input feeds to render one or more final cut clips for viewing, each edit to transform data from one or more of the raw input feeds into the one or more of the plurality of final cut clips by generating tags that identify highlights from signals and a machine learning module operable to access data from memory and operable to generate settings to control the editing processing logic based on the data using one or more machine learning algorithms to control the editing processing logic..

Methods and systems for performing image analytics using graphical reporting associated with clinical images

Methods and systems for performing image analytics using graphical reporting associated with clinical images. One system includes at least one data source and a server.
Merge Healthcare Incorporated

Hybrid classification system

Hybrid classification system and method are described. The method commences when an input detector detects a raw input string that represents a value of a category in a member profile maintained by the on-line social network.
Linkedin Corporation

Systems and methods for vehicle purchase recommendations

A vehicle data system may receive, via a website, a user query about a vehicle or features of a vehicle that may not actually exist. The vehicle data system can transform vehicle features representing a user-configured vehicle, compare the user-configured vehicle with inventory vehicles, determine how similar the user-configured vehicle is to each inventory vehicle, how likely each inventory vehicle may be purchased given the user-configured vehicle and consumer behavior modeled based on actual historical transaction data collected via the website.
Truecar, Inc.

Methods and systems for automatically analyzing clinical images using rules and image analytics

Methods and systems for automatically analyzing clinical images using rules and image analytics. One system includes a server including an electronic processor and an interface for communicating with at least one data source.
Merge Healthcare Incorporated

System and automating information abstraction process for documents

A computer-implemented method, a processing pipeline and a system create a hierarchical semantic map of a document and extracted information. The method includes apportioning the document into major sections by accessing the document, recognizing a hierarchical structure of the document, and dividing the document into the major sections by using a data profiler and a machine learning module, classifying the major sections, and mapping the major sections to key elements in one of the multiple levels, searching one major section, and identifying sub-sections from the one major section to achieve a maximum confidence score indicates that the sub-sections associate with the key element, extracting the information from the identified sub-sections by using sequence modelers and linguistic characteristics provided by the data profiler, generating the hierarchical semantic map of the document by using the extracted information, and displaying in a user interface drop down selections of the key elements..
Accenture Global Services Limited

Expansion and contraction around physiological time-series trajectory for current and future patient condition determination

Systems for diagnostic decision support utilizing machine learning techniques are provided. A library of physiological data from prior patients can be utilized to train a classification component.
Dascena

Diagnostic support systems using machine learning techniques

Systems for diagnostic decision support utilizing machine learning techniques are provided. A library of physiological data from prior patients can be utilized to train a classification component.
Dascena

Multi time- scale,multi-parameter, differentially weighted and exogenous-ompensated phylologicmeasurement analyses

Systems for diagnostic decision support utilizing machine learning techniques are provided. A library of physiological data from prior patients can be utilized to train a classification component.
Dascena

Diagnostic support systems using machine learning techniques

Systems for diagnostic decision support utilizing machine learning techniques are provided. A library of physiological data from prior patients can be utilized to train a classification component.
Dascena

Diagnostic support systems using machine learning techniques

Systems for diagnostic decision support utilizing machine learning techniques are provided. A library of physiological data from prior patients can be utilized to train a classification component.
Dascena

Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician

Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician. One system includes an electronic processor and an interface for communicating with at least one data source.
Merge Healthcare Incorporated

Methods and systems for automatically analyzing clinical images using models developed using machine learning based on graphical reporting

Methods and systems for automatically analyzing clinical images using models developed using machine learning. One system includes a server having an electronic processor and an interface for communicating with at least one data source.
Merge Healthcare Incorporated



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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    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.


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