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US Patent 10360517 Distributed hyperparameter tuning system for machine learning

Patent 10360517 was granted and assigned to Sas (company) on July, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Sas (company)
Sas (company)
Date Filed
November 27, 2017
Date of Patent
July 23, 2019
Patent Applicant
Sas (company)
Sas (company)
Patent Application Number
15822462
Patent Citations Received
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US Patent 11853360 Systems, devices, and methods for parallelized data structure processing
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US Patent 10832174 Distributed hyperparameter tuning system for active machine learning
0
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US Patent 10956825 Distributable event prediction and machine learning recognition system
‌
US Patent 10963802 Distributed decision variable tuning system for machine learning
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US Patent 10977559 Method and system for predicting non-linear relationships
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US Patent 11055639 Optimizing manufacturing processes using one or more machine learning models
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US Patent 11704567 Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service
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‌
US Patent 11775878 Automated machine learning test system
‌
US Patent 11436281 Systems, devices, and methods for parallelized data structure processing
0
‌
US Patent 11443228 Job merging for machine and deep learning hyperparameter tuning
•••
Patent Inventor Names
Brett Alan Wujek
0
Scott Russell Pope
0
Steven Joseph Gardner
0
Yan Xu
0
Joshua David Griffin
0
Oleg Borisovich Golovidov
0
Patrick Nathan Koch
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10360517
Patent Primary Examiner
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Li Wu Chang

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