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



 Managing the size of food portions patent thumbnailManaging the size of food portions
One or more attributes for a customer are determined. A food portion for the customer is determined using a machine learning model and the one or more attributes.
International Business Machines Corporation


 Using machine learning techniques to determine propensities of entities identified in a social graph patent thumbnailUsing machine learning techniques to determine propensities of entities identified in a social graph
A system and method for automatically identifying online entities using machine learning techniques are provided. Entity profile data of a first set of entities is used to train a statistical model and entity profile data of a second set of entities is used, in conjunction with the statistical model, to identify a subset of the second set of entities.
Linkedin Corporation


 System and  defining and using different levels of ground truth patent thumbnailSystem and defining and using different levels of ground truth
A method, computer program product, and computer system, for receiving a first set of ground truth instances from a first source. A second set of ground truth instances may be received from a second source.
International Business Machines Corporation


 System and  defining and using different levels of ground truth patent thumbnailSystem and defining and using different levels of ground truth
A method, computer program product, and computer system, for receiving a first set of ground truth instances from a first source. A second set of ground truth instances may be received from a second source.
International Business Machines Corporation


 Systems and methods for behavior detection using 3d tracking and machine learning patent thumbnailSystems and methods for behavior detection using 3d tracking and machine learning
Systems and methods for performing behavioral detection using three-dimensional tracking and machine learning in accordance with various embodiments of the invention are disclosed. One embodiment of the invention involves a the classification application that directs a microprocessor to: identify at least a primary subject interacting with a secondary subject within a sequence of frames of image data including depth information; determine poses of the subjects; extract a set of parameters describing the poses and movement of at least the primary and secondary subjects; and detect a social behavior performed by at least the primary subject and involving at least the second subject using a classifier trained to discriminate between a plurality of social behaviors based upon the set of parameters describing poses and movement..
California Institute Of Technology


 Data mining  predicting information content from a network data stream patent thumbnailData mining predicting information content from a network data stream
A content extraction system can analyze a network data stream communicated among nodes of a network. The content extraction system can include non-transitory computer storage configured to store at least a portion of the network data stream and a hardware processor in communication with the non-transitory computer storage.
Covermymeds Llc


 System, method, and computer program product for processing workers' compensation claims patent thumbnailSystem, method, and computer program product for processing workers' compensation claims
Systems and methods for administering a workers' compensation (wc) claim include a non-transitory, tangible computer-readable storage medium including a wc claim processing program bearing instructions for performing a settlement strategy for wc claims. A processor is configured to execute the wc claim processing program.
American International Group, Inc.


 Support vector machine learning system and support vector machine learning method patent thumbnailSupport vector machine learning system and support vector machine learning method
[solution] an analysis executing apparatus that performs support vector machine learning, stores a set of learning data including a feature vector and a label encrypted using an additive homomorphic encryption scheme, which are subjected to the support vector machine learning, and performs update processing with a gradient method on the encrypted learning data using an additive homomorphic addition algorithm.. .

 System and  balancing computation with communication in parallel learning patent thumbnailSystem and balancing computation with communication in parallel learning
A machine learning method includes installing a plurality of model replicas for training on a plurality of computer learning nodes; receiving training data at a each model replica and updating parameters for the model replica after trailing; sending the parameters to other model replicas with a communication batch size; evaluating received parameters from other model replicas; and dynamically adjusting the communication batch size to balance computation and communication overhead and ensuring convergence even with a mismatch in processing abilities on different computer learning nodes.. .
Nec Laboratories America, Inc.


 Methods, systems, non-transitory computer readable medium, and machines for maintaining augmented telepathic data patent thumbnailMethods, systems, non-transitory computer readable medium, and machines for maintaining augmented telepathic data
This document discloses effective augmented telepathic communication as a gadget-free extension of human senses. The conveyance of mental information and cognitive processes to perceive or communicate being made possible by data structures for generating and maintaining representations of biological systems activity with auditory, visual, kinesthetic, tactile, emotion, movement, smell, taste, and concept data in a computing environment.

Machine learning apparatus

According to an embodiment, a machine learning apparatus includes an interlayer accelerator. The interlayer accelerator includes interlayer units that generate, based on (a) an input vector of a first layer included in a neural network that includes three or more layers and (b) a learning weight matrix of the first layer, an input vector of a second layer next to the first layer.
Kabushiki Kaisha Toshiba

Scalable continuous integration and delivery systems and methods

A scalable continuous integration (ci) system and/or method may be provided to manage and implement a plurality of code changes submitted in a code base. The scalable ci system and/or method may implement an automated failure analysis.
Paypal, Inc.

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

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 learning operation conditions of cooling device, motor control apparatus and motor control system having the machine learning apparatus, and machine learning method

A machine learning apparatus according to the present invention, which learns the operation conditions of a cooling device for cooling a motor or a motor control apparatus, includes a state observer for observing a state variable including at least one of temperature data of the motor and the motor control apparatus at a specific position during operation of the cooling device; a determination data acquisition unit for acquiring determination data that determines a margin of acceptable value of a loss in each of the motor, the motor control apparatus, and the cooling device and a margin of acceptable value of the temperature of each of the motor and the motor control apparatus at the specific position; and a learner for learning the operation conditions of the cooling device in accordance with a training data set constituted of a combination of the state variable and the determination data.. .
Fanuc Corporation

Motor control apparatus having protection operation unit, and machine learning apparatus and method thereof

A machine learning apparatus learns conditions associated with power failure on the side of an ac power supply in a motor control apparatus which converts ac power into dc power, outputs the dc power to a dc link, further converts the dc power into ac power for driving a motor, and supplies the ac power to the motor, includes a state observation unit which observes a state variable including at least one of data associated with the value of a power supply voltage on the ac power supply side, data associated with the amount of energy stored in a dc link capacitor provided in the dc link, and data indicating whether a protective operation for the motor control apparatus is successful, and a learning unit which learns conditions associated with power failure on the ac power supply side in accordance with a training data set defined by the state variable.. .
Fanuc Corporation

Machine learning method and machine learning apparatus learning point of connection of ground wire or shield wire and electric motor control apparatus and electric motor apparatus provided with machine learning apparatus

A machine learning apparatus able to learn a point of connection of a ground wire or a shield wire optimal for reducing noise. It is a machine learning apparatus learning a point of connection of a ground wire or shield wire used in an electric motor apparatus provided with a status observing part and learning part.
Fanuc Corporation

Motor control apparatus in which power regeneration are adjusted, controller for converter, machine learning apparatus and method thereof

A machine learning apparatus includes a state observation unit which observes a state variable including at least one of data associated with the value of a dc voltage in a dc link, data associated with the amount of power supply regeneration representing the amount of power returned from the dc link to an ac power supply by a power supply regeneration operation by a converter, and data associated with the occurrence or nonoccurrence of an overvoltage alarm indicating that the dc voltage of the dc link has exceeded a preset overvoltage alarm level, and a learning unit learns conditions associated with the power supply regeneration operation by the converter, in accordance with a training data set defined by the state variable.. .
Fanuc Corporation

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

Pipelined approach to fused kernels for optimization of machine learning workloads on graphical processing units

A method for optimization of machine learning (ml) workloads on a graphics processor unit (gpu). The method includes identifying a computation having a generic pattern commonly observed in ml processes.
International Business Machines Corporation

Expanding message targets

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages transmitted to target groups of an online social networking service, determining a threshold differential and a weight value using responses to the plurality of messages, and send the input message to the target in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being greater than the threshold differential.. .
Linkedin Corporation

Growth-based ranking of companies

Finding early-stage companies (i.e. Startup companies) on track to becoming successful may be achieved by predicting future growth of the internet assets owned or associated with a company.

Server device configurations based on machine learning

A system, a medium, and a method are provided to exchange data packets over a communications network and perform machine learning operations. A network server device receives account data from client devices that correspond to account profiles.
Paypal, Inc.

Authenticating physical objects using machine learning from microscopic variations

A method for classifying a microscopic image includes receiving a training dataset (306) including at least one microscopic image (305) from a physical object (303) and an associated class definition (304) for the image that is based on a product specification. machine learning classifiers are trained to classify the image into classes (308).
Entrupy Inc.

Machine learning learning filter in accordance with machine command, motor drive apparatus and motor drive system having machine learning apparatus, and machine learning method

A machine learning apparatus, which learns a condition associated with a filter unit for filtering an analog input signal, includes a state observer for observing a state variable that includes at least one of a noise component and noise amount of an output signal from the filter unit and a responsivity to the input signal; and a learner for learning the condition associated with the filter unit in accordance with a training data set that includes the state variable.. .
Fanuc Corporation

Machine learning unit, spindle replacement judging device, controller, machine tool, production system, and machine learning method, which are able to judge necessity of spindle replacement

A machine learning unit capable of judging the necessity of replacement of a spindle of a machine tool. A machine learning unit includes a state observing section observing a state variable comprising processing volume data showing a number of processed workpieces, processing accuracy data showing a difference between an actual dimension of a processed workpiece and a dimension target value, interruption time data showing a time period of interruption of operation of the machine tool, and replacement determination data showing a judgment result of a necessity of spindle replacement; and a learning section provided with profit-and-loss data comprising a profit per unit time or a loss per unit time, generated by a production of the processed workpiece, and a loss per unit time generated due to the spindle replacement.
Fanuc Corporation

Machine learning learning gain optimization, motor control apparatus equipped with machine learning apparatus, and machine learning method

A machine learning apparatus according to one embodiment of the present invention is a machine learning apparatus for learning a condition associated with adjustment of a current gain parameter in electrical machine control, and comprises: a state observing unit which acquires actual current as well as an integral gain function and a proportional gain function in a current control loop, and observes state variables which include the integral gain function, the proportional gain function, and at least one of an amount of overshoot, an amount of undershoot, and a rise time of the actual current occurring in response to a step-like torque command; and a learning unit which learns the condition associated with the adjustment of the current gain parameter in accordance with a training data set constructed from the state variables.. .
Fanuc Corporation

System and method to facilitate welding software as a service

A weld production knowledge system for processing welding data collected from one of a plurality of welding systems, the weld production knowledge system comprising a communication interface communicatively coupled with a plurality of welding systems situated at one or more physical locations. The communication interface may be configured to receive, from one of said plurality of welding systems, welding data associated with a weld.
Illinois Tool Works Inc.

Engagement estimator

A machine learning system may be implemented as a set of trained models. A set of trained models, for example, a deep learning system, is disclosed wherein one or more types of media input may be analyzed to determine an associated engagement of the one or more types of media input..
Salesforce.com, Inc.

System and in-situ classifier retraining for malware identification and model heterogeneity

A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity. The method produces a parent classifier model in one location and providing it to one or more in-situ retraining system or systems in a different location or locations, adjudicates the class determination of the parent classifier over the plurality of the samples evaluated by the in-situ retraining system or systems, determines a minimum number of adjudicated samples required to initiate the in-situ retraining process, creates a new training and test set using samples from one or more in-situ systems, blends a feature vector representation of the in-situ training and test sets with a feature vector representation of the parent training and test sets, conducts machine learning over the blended training set, evaluates the new and parent models using the blended test set and additional unlabeled samples, and elects whether to replace the parent classifier with the retrained version..
Acuity Solutions Corporation

Deterministic message distribution

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.. .
Linkedin Corporation

Identification and presentation of changelogs relevant to a tenant of a multi-tenant cloud service

Technologies are described herein for identification and presentation of changelogs relevant to a tenant of a multi-tenant cloud service. Change feature extraction is performed on changelogs associated with a tenant of the multi-tenant cloud service to identify features associated with the changelogs.
Microsoft Technology Licensing, Llc

Storage device, system including storage device and operating the same

A method of operating a storage device according to an exemplary embodiment includes receiving a first target value and a second target value of a plurality of target values respectively corresponding to a first operating parameter and a second operating parameter of a plurality of target values of operating parameters from a host, loading a first existing value and a second existing value of a plurality of existing values of the first operating parameter and the second operating parameter, processing a machine learning algorithm using the first target value, the second target value, the first existing value and the second existing value to generate an adaptive schedule, and executing the background operation based on the schedule.. .
Samsung Electronics Co., Ltd.

Time series metric data modeling and prediction

A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics.
Appdynamics, Inc.

Managing alert profiles

Systems and techniques for managing alert profiles, including creating the alert profiles and deactivating the alert profiles, are described. Auditing software executing on a central server may receive an event log from a software agent.
Dell Products L.p.

Machine tool, simulation apparatus, and machine learning device

A machine tool is provided with an operation evaluation section that outputs evaluation data on an operation of the machine tool and a machine learning device that performs machine learning of the movement amount of an axis. The machine learning device calculates a reward from physical-amount data on the machine tool and the evaluation data, performs adjustment of the movement amount of the axis based on a machine learning result of the adjustment of the movement amount of the axis and the physical-amount data, and performs the machine learning of the adjustment of the movement amount of the axis based on the adjusted movement amount of the axis, the physical-amount data after the operation of the machine tool based on the movement amount of the axis, and the reward..
Fanuc Corporation

Motor control apparatus with magnetic flux controller and machine learning apparatus and method therefor

A machine learning apparatus that learns a condition associated with a gain of a magnetic flux controller and a time constant of a magnetic flux estimator in a motor control apparatus includes: a state observation unit that observes a state variable defined by at least one of data relating to an acceleration of a motor, data relating to a jerk of the motor, and data relating to an acceleration time of the motor; and a learning unit that learns the condition associated with the gain of the magnetic flux controller and the time constant of the magnetic flux estimator in accordance with a training data set defined by the state variable.. .
Fanuc Corporation

Injection molding system for the calculation of optimum operating conditions and machine learning therefor

Disclosed is an injection molding system including: a state observation section observing, when injection molding is performed, physical-amounts relating to the injection molding that is being performed; a physical-amount data storage section storing the physical-amount data; a reward-conditions setting section setting reward conditions for machine learning; a reward calculation section calculating a reward based on the physical-amount data and the reward conditions; an operating-conditions adjustment learning section performing machine learning of adjusting operating conditions based on the reward calculated by the reward calculation section, the operating conditions, and the physical-amount data; a learning-result storage section storing a learning result of the machine learning by the operating-conditions adjustment learning section; and an operating-conditions adjustment-amount output section determining and outputting an operating condition to be adjusted and an adjustment amount based on the machine learning by the operating-conditions adjustment learning section.. .
Fanuc Corporation

Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device

A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data..
Preferred Networks, Inc.

Controller-equipped machining apparatus having machining time measurement function and on-machine measurement function

A machining apparatus is provided with a machine learning device that performs machine learning. The machine learning device performs the machine learning by receiving the input of machining accuracy between a machining shape of a workpiece measured on-machine and design data on the workpiece and machining time of the workpiece measured by a measurement device.
Fanuc Corporation

Failure cause diagnostic device for injection molding machine

A failure cause diagnostic device of the present invention receives input of internal and external state data on injection molding machines and diagnoses failure cause of the injection molding machines by means of a machine learning device. An internal parameter of the machine learning device is obtained by performing machine learning using the state data obtained from the injection molding machines subject to failure cause and the state data obtained from the injection molding machines free of failure cause..
Fanuc Corporation

Machine learning device, robot system, and machine learning learning workpiece picking operation

A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of workpieces placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each workpiece, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the workpiece by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the workpiece, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.. .
Preferred Networks, Inc.

Machine learning device, robot controller, robot system, and machine learning learning action pattern of human

A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.. .
Preferred Networks, Inc.

Data collection from living subjects and controlling an autonomous robot using the data

Using various embodiments, methods, systems, and apparatuses are disclosed for capturing the behavior of living subjects, where the data can be processed by a machine-learning algorithm to control an autonomous robot. In one embodiment, using the data captured by a user performing everyday operations, the autonomous robot can behave in a substantially similar manner as the living subject did in the environment where the behavior capture sessions of the living subject were carried out.

Machine learning device, screw fastening system, and control device thereof

A machine learning device for learning the fastening operation of a screw by a screwdriver includes a state observation unit for observing state variables consisting of at least one of a rotational speed of the screwdriver, a rotational direction of the screwdriver, a position of the screwdriver and an inclination of the screwdriver and at least one of a fastening quality of the screw fastened by the screwdriver and a fastening time for which the screw is fastened by the screwdriver, and a learning unit for learning at least one of the rotational speed, the rotational direction, the position and the inclination, observed by the state observation unit and at least one of a change of the fastening quality and a change of the fastening time, observed by the state observation unit in association with each other.. .
Fanuc Corporation

Machine learning device, arc welding control device, arc welding robot system, and welding system

A machine learning device which learns to determine at least one arc welding condition includes a state observation unit which observes a state variable consisting of at least one physical quantity regarding the arc welding and the at least one arc welding condition at least during or after the arc welding, and a learning unit which learns a change in the at least one physical quantity observed by the state observation unit and the at least one arc welding condition in association with each other.. .
Fanuc Corporation

Intelligent lighting monitoring, analysis, and automation of the built environment

Systems, apparatus, and methods are disclosed for monitoring, analyzing, and automating aspects of the built environment using a plurality of sensors configured to utilize existing infrastructure supporting a plurality of lighting fixtures in the environment. The existing infrastructure includes a plurality of physical locations provided in the environment for the plurality of lighting fixtures, an electric power supply including a plurality of electrical connections for powering the plurality of lighting fixtures, and/or a network including a plurality of network connections for exchanging data with the plurality of lighting fixtures.
Digital Lumens, Inc.

System and the automated detection and prediction of online threats

A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.. .

Data driven classification and troubleshooting system and method

There is provided a computer implemented data driven classification and troubleshooting system and method. The system has an interface application enabled to receive data.
The Boeing Company

Methods and systems for using an expectation-maximization (em) machine learning framework for behavior-based analysis of device behaviors

A computing device processor may be configured with processor-executable instructions to implement methods that include using expectation-maximization (em) machine learning techniques to continuously, repeatedly, or recursively generate, train, improve, focus, or refine the machine learning classifier models that are used by a behavior-based monitoring and analysis system (or behavior-based security system) of the computing device to better identify and respond to various conditions or behaviors that may have a negative impact on its performance, power utilization levels, network usage levels, security and/or privacy over time.. .
Qualcomm Incorporated

Smart beauty delivery system linking smart products

Internet of things beauty and personal care application system which may include products, a mirror, digital camera, reader identifying product, communication transceivers, sensors, servers and databases. These link images and data via a mobile application, allowing a plurality of applications via a single interface.

System and natural language processing using synthetic text

A method for performing natural language processing includes receiving a primary text file. The received primary text file is scanned to determine a set of statistics related to a frequency at which various words of the primary text file follow other words of the primary text file.
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.


    1.7382

    file did exist - 2701

    0 - 1 - 52