MACHINE LEARNING

VolverVolver

Resultados 66 resultados LastUpdate Última actualización 26/03/2019 [17:14:00] pdf PDF

Solicitudes publicadas en los últimos 60 días / Applications published in the last 60 days

Página1 de 3 nextPage   por página


SYSTEM AND METHOD FOR INTELLIGENT INCIDENT ROUTING

NºPublicación: US2019087746A1 21/03/2019

Solicitante:

MICROSOFT TECHNOLOGY LICENSING LLC [US]

Resumen de: US2019087746A1

Methods for automatic and intelligent incident routing are performed by systems and apparatuses. The methods intelligently optimize routing of incidents to correct owners from a pool of many possible owners by utilizing learning models and algorithms based on feature vectors. Users provide information related to incidents of services or systems. The information is cleaned and featurized to generate a feature vector for the incident. The systems and apparatuses intelligently and automatically determine sets of candidate recipients based on outputs of algorithms, e.g., machine learning algorithms, such as classifiers using the feature vectors as inputs. Classifiers may utilize models or algorithms trained with featurizations used for feature vectors. Sets of candidate recipients are provided to users for selection of a recipient for the information from the set of candidate recipients instead of from all the possible recipients. Methods for intelligent bug and feedback routing are also performed by systems and apparatuses.

traducir

SYSTEMS AND METHODS FOR PROVIDING CALLS-TO-ACTION ASSOCIATED WITH PAGES IN A SOCIAL NETWORKING SYSTEM

NºPublicación: US2019087747A1 21/03/2019

Solicitante:

FACEBOOK INC [US]

Resumen de: US2019087747A1

Systems, methods, and non-transitory computer readable media can obtain a plurality of calls-to-action (CTAs) that can be provided on a page associated with a social networking system. A machine learning model can be trained based on training data including pages and associated CTAs. The plurality of CTAs for a page can be ranked based on the machine learning model. At least one of the ranked CTAs for the page can be provided as a recommended CTA for the page.

traducir

ANOMALY DETECTION AND AUTOMATED ANALYSIS IN SYSTEMS BASED ON FULLY MASKED WEIGHTED DIRECTED

NºPublicación: US2019087737A1 21/03/2019

Solicitante:

CALLIDUS SOFTWARE INC [US]

Resumen de: US2019087737A1

A method includes processing data sets according to a plurality of rules to generate an activation pattern for each data set. Each activation pattern includes an activation value for each rule of the plurality of rules. The method also includes normalizing the activation value for each rule and determining a standard deviation of the activation value for each rule. The method further includes identifying a first subset of rules of the plurality of rules. Each rule of the first subset of rules has activation value with the standard deviation greater than a standard deviation threshold. The method also includes identifying, using an unsupervised machine learning algorithm, outlier activation patterns and analyzing the outlier activation patterns based on a second subset of rules of the plurality of rules. The second subset of rules is a subset of the first subset of rules.

traducir

MACHINE LEARNING METHODS AND SYSTEMS FOR PREDICTING ONLINE USER INTERACTIONS

NºPublicación: US2019080260A1 14/03/2019

Solicitante:

AMADEUS SAS [FR]

Resumen de: US2019080260A1

Methods and computing apparatus for retrieving records relating to content placement events and records relating to user interaction events. A set of enriched training feature vectors is computed from raw feature values, and used with interaction event tags to train a machine learning model. Information is received relating to an online content placement slot and information is received relating to a user to whom content within the online content placement slot will be displayed. An enriched estimation feature vector is computed based upon a content item selected for placement within the online content placement slot, the information relating to the user, and the information relating to the online content placement slot. A machine learning model is executed to determine an estimate of likelihood of the user interacting with the selected content item, based upon the enriched estimation feature vector.

traducir

CHECKPOINTING DISK CONFIGURATION USING MACHINE LEARNING

NºPublicación: US2019080257A1 14/03/2019

Solicitante:

INTEL CORP [US]

Resumen de: US2019080257A1

One embodiment provides a system including processor, a storage device, training logic and runtime prediction logic to develop a model to enable improved checkpointing. The training logic trains the model using simulated or known data to predict a size of a changelog needed for checkpointing. The size of the changelog is correlated to user type and timespan (as a checkpoint tracking changes made over a full week is likely larger than a checkpoint tracking changes made over a single day, and some types of users make more changes than others). Thus, the training logic utilizes sample data corresponding to various user types and timespans to train and validate the model for various combinations. Once the model is trained, the training logic may send the trained model to the runtime prediction model for use during operation of the system. During operation, the runtime prediction logic uses the model to predict a size of a reserved area where the changelog will be stored. The runtime prediction logic also monitors actual use of the reserved area during operation over time (e.g., tracks the size of the changelog as it grows) and compares the changelog size to the predictions from the model. The runtime prediction logic revises the model as needed based on the actual use. Thus, the system improves checkpointing by reducing wasted space.

traducir

System and Method for Machine Learning Based QoE Prediction of Voice/Video Services in Wireless Networks

NºPublicación: WO2019051119A1 14/03/2019

Solicitante:

INFOVISTA SWEDEN AB [SE]
JOHANSSON PER [SE]
COTANIS IRINA [US]

US_2019073603_A1

Resumen de: WO2019051119A1

A framework system and method for developing hybrid voice/video QoE predictors, which use both network/codec/client parameters as well as the voice/video reference sample(s). The prediction model/algorithm uses deep packet inspection to produce relevant input and therefore the network's impact on the voice/video QoE can be determined without recording actual media (voice/video) content. Therefore, the QoE predictors are neither solely media based as available perceptual metrics, nor available parametric based. The present hybrid voice/video QoE uses the reference/original media information, unlike prior art hybrid video only QoE which use the recorded media (video only).

traducir

UTILIZING A MACHINE LEARNING MODEL TO PREDICT PERFORMANCE AND GENERATE IMPROVED DIGITAL DESIGN ASSETS

NºPublicación: US2019080347A1 14/03/2019

Solicitante:

ADOBE INC [US]

Resumen de: US2019080347A1

Methods, systems, and computer readable storage media for improving predictive analytics for performance of digital design assets. In particular, one or more embodiments train a machine-learning model based on previously used digital design assets. One or more embodiments use the machine-learning model to analyze attributes of a user-generated digital design asset to generate an asset score that predicts the performance of the user-generated digital design asset for a target audience segment. One or more embodiments also use the machine-learning model to generate attribute scores for the attributes, and then generate the asset score based on the attribute scores. Additionally, one or more embodiments then provide the asset score to a user (e.g., a content creator) within an asset creation application to allow the user to improve the digital design asset for use in one or more digital content campaigns directed to the target audience segment.

traducir

SYSTEMS AND METHODS FOR ASSESSING PATENT VALIDITY OR INVALIDITY USING ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND NATURAL LANGUAGE PROCESSING

NºPublicación: US2019079979A1 14/03/2019

Solicitante:

CHAN ALEX H [US]

US_10157352_B1

Resumen de: US2019079979A1

Systems, methods, and computer program methods for assessing a validity or invalidity of a patent are described. A plurality of legal documents associated with a plurality of legal cases can be received, where at least one of the plurality of legal cases can be associated with a legal proceeding. The legal proceeding can be associated with a determination of a validity or invalidity of a patent. The patent can include at least one claim. The plurality of legal documents can be stored in one or more databases. One or more predetermined patterns can be applied to the plurality of legal documents to identify reference data. The reference data can be analyzed to develop one or more analytical or statistical models, and each analytical or statistical model can pertain to a different analytical parameter associated with a different attribute of the plurality of the legal documents. The validity or invalidity of the patent can be assessed based on the one or more analytical or statistical models. The assessment of the validity or invalidity of the patent can be displayed to one or more users.

traducir

OBSERVATION HUB DEVICE AND METHOD

NºPublicación: US2019080258A1 14/03/2019

Solicitante:

INTEL CORP [US]

CN_109495922_A

Resumen de: US2019080258A1

Embodiments of the present disclosure may relate to an apparatus with an observation hub that includes a machine-learning model, where the observation hub is to determine a state of an apparatus based at least in part on the machine-learning model and trace data received from one or more trace sources, and alter an operating condition of the apparatus based at least in part on the determined state of the apparatus. Embodiments may also include a multi-buffer trace unit to change one or more of a sort rule, a trigger rule, an enforcement rule, or a filter rule of the multi-buffer trace unit based at least in part on the determined state of the apparatus. Other embodiments may be described and/or claimed.

traducir

REWARD-BASED RECOMMENDATIONS OF ACTIONS USING MACHINE-LEARNING ON TELEMETRY DATA

NºPublicación: US2019080251A1 14/03/2019

Solicitante:

VMWARE INC [US]

Resumen de: US2019080251A1

System and methods for automatically providing action recommendations are described. A method may include collecting a set of telemetry data from a client application. The set of telemetry data contains a plurality of pages generated based on a plurality of user actions performed on the client application. The method may include generating a plurality of prior probabilities corresponding to the plurality of pages and the plurality of user actions. In response to the client application displaying a first page, the method may generating a plurality of posterior probabilities for a subset of user actions that can be invoked in the client application from the first page, and selecting a plurality of recommended actions from the subset of user actions for having the highest corresponding posterior probabilities among the plurality of posterior probabilities.

traducir

METHODS AND SYSTEMS FOR INTELLIGENT ADAPTIVE BIDDING IN AN AUTOMATED ONLINE EXCHANGE NETWORK

NºPublicación: US2019080363A1 14/03/2019

Solicitante:

AMADEUS SAS [FR]

Resumen de: US2019080363A1

Methods and computing apparatus for intelligent adaptive bidding in an automated online exchange network. A message comprising a bid request is received that includes site and user information relating to an available ad slot. A ranked list of offers is generated based at least in part on the site and user information. For each offer in the ranked list, an offer-level estimate of probability of user interaction with the offer is computed. For at least one combination of offers in the ranked list, an ad-level bid price is computed based on at least the computed offer-level estimates of probability of user interaction, corresponding offer-level interaction revenues, and an aggressiveness parameter that controls aggressiveness of bid pricing. Machine learning models for predicting behavior of online users are able to automatically determine estimates of probability of user interaction with online content elements based upon aggregated behavior of prior users in similar contexts.

traducir

CONTEXTUAL SKILLS DISCOVERY

NºPublicación: WO2019045848A1 07/03/2019

Solicitante:

MICROSOFT TECHNOLOGY LICENSING LLC [US]

US_2019065975_A1

Resumen de: WO2019045848A1

Recommending one or more relevant skills to a user that are appropriate for the user's current context is provided. A machine learning contextual skills model is trained on data associated with skills that are invoked by the particular user and by various users and context data that defines characteristics of the context of the users, the users' computing devices, and the users' environments in association with the invoked skills. Responsive to a trigger event associated with the user and a computing device, current context data and user data is collected and passed to the contextual skills system. The contextual skills model is applied to the collected data and generates a ranked list of skills. One or more top-ranking skills are selected and provided to the user as one or more skill recommendations that are determined to be relevant to the user and relevant to the user's current context.

traducir

DETERMINATION OF CHARACTERISTICS OF ELECTROCHEMICAL SYSTEMS USING ACOUSTIC SIGNALS

NºPublicación: WO2019046555A1 07/03/2019

Solicitante:

FEASIBLE INC [US]
UNIV PRINCETON [US]

US_2019072614_A1

Resumen de: WO2019046555A1

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

traducir

DETERMINATION OF CHARACTERISTICS OF ELECTROCHEMICAL SYSTEMS USING ACOUSTIC SIGNALS

NºPublicación: US2019072614A1 07/03/2019

Solicitante:

FEASIBLE INC [US]
UNIV PRINCETON [US]

WO_2019046555_A1

Resumen de: US2019072614A1

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

traducir

System, Method, and Computer Program Product for Predicting Payment Transactions Using a Machine Learning Technique Based on Merchant Categories and Transaction Time Data

NºPublicación: US2019073669A1 07/03/2019

Solicitante:

VISA INT SERVICE ASS [US]

Resumen de: US2019073669A1

Provided is a computer-implemented method for predicting payment transactions using a machine learning technique that includes receiving transaction data, generating a categorical transaction model based on the transaction data, determining a plurality of prediction scores including determining, for one or more users, a prediction score in each merchant category of a plurality of merchant categories for each predetermined time segment of a plurality of predetermined time segments, where a respective prediction score includes a prediction of whether a user will conduct a payment transaction in a merchant category at a time associated with a predetermined time segment associated with the respective prediction score, determining a recommended merchant category and a recommended predetermined time segment of at least one offer, generating the at least one offer, and communicating the at least one offer to the one or more users. A system and computer program product are also disclosed.

traducir

DETERMINING TRUSTWORTHINESS AND COMPATIBILITY OF A PERSON

NºPublicación: US2019073597A1 07/03/2019

Solicitante:

AIRBNB INC [US]

US_2016110648_A1

Resumen de: US2019073597A1

Systems and methods are provided for, are provided for analyzing each of a plurality of documents related to a person to identify content attributes that occur in a dictionary for behavior or personality traits, calculating an initial score for each behavior and personality trait related to the identified content attributes, calculating trait metrics for each behavior or personality trait by combining initial scores for each behavior or personality trait, providing the trait metrics as input to a rule based scoring and machine learning system, obtaining, from the rule based scoring and machine learning system, a trustworthiness score of the person output from the rule based scoring and machine learning system, receiving an indication that a second person trusts the person, creating a relationship between the second person and the person, and adjusting the trustworthiness score of the person based on, at least, a trustworthiness score of the second person.

traducir

SYSTEM AND METHOD FOR MACHINE LEARNING BASED QoE PREDICTION OF VOICE/VIDEO SERVICES IN WIRELESS NETWORKS

NºPublicación: US2019073603A1 07/03/2019

Solicitante:

INFOVISTA SWEDEN AB [SE]

Resumen de: US2019073603A1

A framework system and method for developing hybrid voice/video QoE predictors, which use both network/codec/client parameters as well as the voice/video reference sample(s). The prediction model/algorithm uses deep packet inspection to produce relevant input and therefore the network's impact on the voice/video QoE can be determined without recording actual media (voice/video) content. Therefore, the QoE predictors are neither solely media based as available perceptual metrics, nor available parametric based. The present hybrid voice/video QoE uses the reference/original media information, unlike prior art hybrid video only QoE which use the recorded media (video only).

traducir

Data Retrieval in Security Anomaly Detection Platform with Shared Model State between Real-Time and Batch Paths

NºPublicación: US2019075126A1 07/03/2019

Solicitante:

SPLUNK INC [US]

US_2018367551_A1

Resumen de: US2019075126A1

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

traducir

TRAFFIC BASED DISCOVERY NOISE REDUCTION ARCHITECTURE

NºPublicación: EP3451247A2 06/03/2019

Solicitante:

SERVICENOW INC [US]

US_2019050745_A1

Resumen de: EP3451247A2

Systems and methods for mapping configuration items to business functions within a corporate infrastructure are disclosed. Discovery processes to automatically create and update service maps may introduce an artificial dependency between configuration items that is not necessary to the business function represented in the service map. These unnecessary dependencies may be considered "noise" and unnecessarily complicate the service map. Using machine learning techniques and procedures to identify short lived connections embodiments in accordance with this disclosure, dependency connections that may be considered noise may be detected and flagged. Once detected, these connections may be automatically removed from the service map to improve its accuracy and usefulness. Additionally, a user interface is provided that explains the "reason codes" for identification of noise connections. Reason codes allow a user to understand how the machine learning algorithm traversed a decision tree to identify a connection as noise.

traducir

AUTOMATED SELF-HEALING OF A COMPUTING PROCESS

NºPublicación: US2019065990A1 28/02/2019

Solicitante:

ACCENTURE GLOBAL SOLUTIONS LTD [IE]

EP_3447701_A1

Resumen de: US2019065990A1

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving training data for multiple datasets that include information about a computing process. The training data is received at a computing system that includes a data manager, a data classifier, and a machine learning (ML) system. The data classifier annotates the training data as being associated with a particular dataset and as being descriptive of computing processes executed to perform transactions. The ML system receives the annotated training data and data about a transaction operation of the system, trains a predictive model to generate prediction data that indicates a runtime condition of the system, and provides the prediction data to a process automation module of the system. The module executes process automation scripts to remediate the computing process, where the computing process is executed by the system to perform the real-time transaction operation.

traducir

CAPTURING KNOWLEDGE COVERAGE OF MACHINE LEARNING MODELS

NºPublicación: US2019065987A1 28/02/2019

Solicitante:

ACCENTURE GLOBAL SOLUTIONS LTD [IE]

Resumen de: US2019065987A1

Implementations are directed to receiving a first plurality of data sets associated with one or more of a process and a device, data values in the plurality of data sets being recorded by sensors in a set of sensors, receiving a first predictive model for the first plurality of data sets, for each data value in the first plurality of data sets, determining a knowledge score for the predictive model based on weights assigned to a plurality of concepts associated with a domain ontology for a domain of the one or more of the process and the device, comparing the knowledge score for each data value in the first plurality of data sets to a threshold knowledge score to provide a comparison, and in response to the comparison, selectively amending concepts in the first predictive model to provide a second predictive model.

traducir

MACHINE LEARNING FOR TIME SERIES USING SEMANTIC AND TIME SERIES DATA

NºPublicación: US2019065992A1 28/02/2019

Solicitante:

IBM [US]

US_2019065988_A1

Resumen de: US2019065992A1

Techniques that facilitate semantic and time series analysis using machine learning are provided. In one example, a system includes a data analysis component, a prediction component and a learning component. The data analysis component that establishes one or more relationships between one or more elements of semantic data, including one or more time series identifiers, and one or more elements of time series data in a relationship database. The prediction component generates one or more advisory outputs, wherein generation of the one or more advisory outputs is performed in response to a trigger event. A learning component that determines the one or more relationships in the relationship database, wherein determination of the one or more relationships is based on information indicative of whether the advisory outputs satisfy a defined criterion.

traducir

CLOUD BASED SECURITY MONITORING USING UNSUPERVISED PATTERN RECOGNITION AND DEEP LEARNING

NºPublicación: US2019068627A1 28/02/2019

Solicitante:

ORACLE INT CORP [US]

Resumen de: US2019068627A1

Provided are systems and methods for a cloud security system that learns patterns of user behavior and uses the patterns to detect anomalous behavior in a network. Techniques discussed herein include obtaining activity data from a service provider system. The activity data describes actions performed during use of a cloud service over a period of time. A pattern corresponding to a series of actions performed over a subset of time can be identified. The pattern can be added a model associated with the cloud service. The model represents usage of the cloud service by the one or more users. Additional activity data can be obtained from the service provider system. Using the model, a set of actions can be identified in the additional activity data that do not correspond to the model. The set of actions and an indicator that identifies the set of actions as anomalous can be output.

traducir

CONTEXTUAL SKILLS DISCOVERY

NºPublicación: US2019065975A1 28/02/2019

Solicitante:

MICROSOFT TECHNOLOGY LICENSING LLC [US]

WO_2019045848_A1

Resumen de: US2019065975A1

Recommending one or more relevant skills to a user that are appropriate for the user's current context is provided. A machine learning contextual skills model is trained on data associated with skills that are invoked by the particular user and by various users and context data that defines characteristics of the context of the users, the users' computing devices, and the users' environments in association with the invoked skills. Responsive to a trigger event associated with the user and a computing device, current context data and user data is collected and passed to the contextual skills system. The contextual skills model is applied to the collected data and generates a ranked list of skills. One or more top-ranking skills are selected and provided to the user as one or more skill recommendations that are determined to be relevant to the user and relevant to the user's current context.

traducir

METHOD FOR SECURING A MACHINE LEARNING BASED DECISION SYSTEM

Nº publicación: WO2019038036A1 28/02/2019

Solicitante:

GEMALTO SA [FR]

EP_3447674_A1

Resumen de: WO2019038036A1

The present invention relates to a method for securing a system being configured to perform decision tasks carried out by a machine learning engine, equipped for operating with at least one machine learning model, the system comprising at least one training component for improving the at least one machine learning model, a device for carrying out decisions based on said machine learning model and a set of input data, and an interaction interface for exchanging said at least one machine learning model between training component and device, wherein the device comprises a model attestation checker, the method comprising the steps of: for the device: -acquiring input data, -ascertaining at least one machine learning model over the interaction interface, for the model attestation checker: -checking if said at least one machine learning model is trusted by a model attestation, -considering by the machine learning engine for said decision making only those machine learning models that are trusted, for the machine learning engine: -carrying out the decision task for acquired input data by using said at least one trusted machine learning model, -providing a result attestation for the decision output.

traducir

Página1 de 3 nextPage por página

punteroimgVolver