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公开(公告)号：US11360927B1
公开(公告)日：2022-06-14
申请号：US16810198
申请日：2020-03-05
Applicant: SHUTTERSTOCK, INC.
Inventor： Alexander Chavez , David Chester , Heath Hohwald , Nathan Hurst , Kevin Scott Lester , Manor Lev-Tov
IPC: G06F16/00 , G06F15/16 , G06Q30/02 , G06F16/28 , G06N7/06 , H04L9/40 , G06F16/435 , H04N7/16 , G06Q20/04
Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.
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公开(公告)号：US11327003B2
公开(公告)日：2022-05-10
申请号：US16557539
申请日：2019-08-30
Applicant: BECTON, DICKINSON AND COMPANY
Inventor： Jonathan Lin , Joseph Trotter , Keegan Owsley
Abstract: Non-parametric transforms such as t-distributed stochastic neighbor embedding (tSNE) are used to analyze multi-parametric data such as data derived from flow cytometry or other particle analysis systems and methods. These transforms may be included for dimensionality reduction and identification of subpopulations (e.g., gating). By nature, non-parametric transforms cannot transform new observations without training a new transformation based on the entire dataset including the new observations. The features described parameterize non-parametric transforms using a neural network thereby allowing a small training dataset to be transformed using non-parametric techniques. The training dataset may then be used to generate an accurate parametric model for assessing additional events in a manner consistent with the initial events.
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公开(公告)号：US11120354B2
公开(公告)日：2021-09-14
申请号：US15778600
申请日：2016-11-24
Applicant: THALES
Inventor： Hélia Pouyllau
Abstract: A decision aid method for determining an action to be implemented by a given competitive entity in a competitive system comprises the competitive entity and at least one other adverse competitive entity, the competitive entity being able to implement an action from among a set of predefined actions, each action providing a different expected gain as a function of the actions implemented by the adverse competitive entities. Each entity is furthermore able to implement a learning procedure from among a set of predefined learning procedures to learn the actions of the adverse entities, associating with each learning procedure an elementary probability function assigning a probability parameter to each possible action of the given competitive entity; determining a global probability function assigning a probability parameter to each elementary probability function; selecting one of the elementary probability functions by using the global probability function; and applying the selected elementary probability function to determine an action from among the actions implementable by the given competitive entity.
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公开(公告)号：US11023828B2
公开(公告)日：2021-06-01
申请号：US15406542
申请日：2017-01-13
Applicant: Open Text Holdings, Inc.
Inventor： Jan Puzicha , Steve Vranas
Abstract: Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.
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公开(公告)号：US10984423B2
公开(公告)日：2021-04-20
申请号：US16674980
申请日：2019-11-05
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
Abstract: A method of improving the training and performance of predictive models. A first method of operating an artificial intelligence machine produces predictive model language documents describing improved predictive models that generate better business decisions from raw data record inputs. A second method of operating an artificial intelligence machine including processors for predictive model algorithms produces and outputs better business decisions from raw data record inputs. Both methods enrich the raw data records their processors are fed by deleting data fields with data values that have little benefit in decision making, and that derive and add new data fields from information sources then available that do benefit in the decision making of the artificial intelligence machine through improved accuracies of prediction.
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Patent Agency Ranking
公开(公告)号：US10916350B2
公开(公告)日：2021-02-09
申请号：US15385351
申请日：2016-12-20
Applicant: PHILIP MORRIS PRODUCTS S.A.
Inventor： Julia Hoeng , Florian Martin , Manuel Claude Peitsch , Alain Sewer
Abstract: Systems and methods are described for quantifying the response of a biological system to one or more perturbations. First and second datasets corresponding to a response of a biological system to first and second treatments are received. A plurality of computational network models that represent the biological system are provided, each model including nodes representing a plurality of biological entities and edges representing relationships between the nodes in the model. A first set of scores is generated, representing the perturbation of the biological system based on the first dataset and the plurality of models, and a second set of scores representing the perturbation of the biological system based on the second dataset and the plurality of computational models. One or more biological impact factors are generated based on each of the first set and second set of scores that represent the biological impact of the perturbation on the biological system.
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公开(公告)号：US10466761B2
公开(公告)日：2019-11-05
申请号：US14690233
申请日：2015-04-17
Applicant: LSIS CO., LTD.
Inventor： Jong Kab Kwak
IPC: G06F1/32 , G06N7/06 , G06F1/3221 , G06F1/3203
Abstract: A system for monitoring a power system and controlling an operation is provided. The system includes: a process setting unit receiving a process modeling file from a user and setting, as a process setting model, a process modeling file on which process verification is completed; a process verification unit performing the verification of preset process modeling items on the process modeling files received from the user; and a data storage unit storing file information for the operation of a system, the process modeling file, process modeling verification results, and the process setting file.
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公开(公告)号：US10395764B2
公开(公告)日：2019-08-27
申请号：US14590026
申请日：2015-01-06
Applicant: AIC Innovations Group, Inc.
IPC: G06N7/02 , G06N7/04 , G06N7/06 , G06N7/08 , G16H10/60 , G16H20/10 , G06K9/00 , G06K9/62 , G06N3/04 , G06N3/08 , A61B19/00
Abstract: A system and method for training a system for monitoring administration of medication. The method includes the steps of a method for training a medication administration monitoring apparatus, comprising the steps of defining one or more predetermined medications and then acquiring information from one or more data sources of a user administering medication. A first network is trained to recognize a first step of a medication administration sequence, and then a second network is trained to recognize a second step of a medication administration sequence based upon the training of the first network.
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公开(公告)号：US10380649B2
公开(公告)日：2019-08-13
申请号：US14637209
申请日：2015-03-03
Applicant: SPOTIFY AB
Inventor： Christopher Johnson
Abstract: In accordance with an embodiment, described herein is a system and method for logistic matrix factorization of implicit feedback data, with application to media environments or streaming services. While users interact with an environment or service, for example a music streaming service, usage data reflecting implicit feedback can be collected in an observation matrix. A logistic function can be used to determine latent factors that indicate whether particular users are likely to prefer particular items. Exemplary use cases include providing personalized recommendations, such as personalized music recommendations, or generating playlists of popular artists.
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公开(公告)号：US10380493B2
公开(公告)日：2019-08-13
申请号：US15604226
申请日：2017-05-24
Applicant: Essential Products, Inc.
Inventor： Mara Clair Segal , Manuel Roman , Dwipal Desai , Andrew E. Rubin
Abstract: The present disclosure contemplates a variety of improved methods and systems for creating a unique user experience using an ambient operating system connected to a variety of disparate IoT devices. The described solution includes a curated scene or set of actions initiated by an assistant device. For example, the assistant device detects it is a weekday morning and initiates actions associated with the wakeup routine such as opening the blinds, making coffee and notifying the user of the current traffic report.
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