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公开(公告)号:US11270217B2
公开(公告)日:2022-03-08
申请号:US16194192
申请日:2018-11-16
Applicant: Intel Corporation
Inventor: Kevin Tee , Michael McCourt , Patrick Hayes , Scott Clark
Abstract: Systems and methods include receiving a tuning work request for tuning hyperparameters of a third-party model or system; performing, by a machine learning-based tuning service, a first tuning of the hyperparameters in a first tuning region; identifying tuned hyperparameter values for each of the hyperparameters based on results of the first tuning; setting a failure region based on the tuned hyperparameter values of the first tuning; performing, by the machine learning-based tuning service, a second tuning of the hyperparameters in a second tuning region that excludes the failure region; identifying additional tuned hyperparameter values for each of the hyperparameters based on results of the second tuning; and returning the tuned hyperparameter values and the additional hyperparameter values for implementing the third-party model or system with one of the tuned hyperparameter values and the additional hyperparameter values.
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公开(公告)号:US11966860B2
公开(公告)日:2024-04-23
申请号:US17687362
申请日:2022-03-04
Applicant: Intel Corporation
Inventor: Kevin Tee , Michael McCourt , Patrick Hayes , Scott Clark
Abstract: Disclosed examples include after a first tuning of hyperparameters in a hyperparameter space, selecting first hyperparameter values for respective ones of the hyperparameters; generating a polygonal shaped failure region in the hyperparameter space based on the first hyperparameter values; setting the first hyperparameter values to failure before a second tuning of the hyperparameters; and selecting second hyperparameter values for the respective ones of the hyperparameters in a second tuning region after the second tuning of the hyperparameters in the second tuning region, the second tuning region separate from the polygonal shaped failure region.
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公开(公告)号:US20220188677A1
公开(公告)日:2022-06-16
申请号:US17687362
申请日:2022-03-04
Applicant: Intel Corporation
Inventor: Kevin Tee , Michael McCourt , Patrick Hayes , Scott Clark
Abstract: Disclosed examples include after a first tuning of hyperparameters in a hyperparameter space, selecting first hyperparameter values for respective ones of the hyperparameters; generating a polygonal shaped failure region in the hyperparameter space based on the first hyperparameter values; setting the first hyperparameter values to failure before a second tuning of the hyperparameters; and selecting second hyperparameter values for the respective ones of the hyperparameters in a second tuning region after the second tuning of the hyperparameters in the second tuning region, the second tuning region separate from the polygonal shaped failure region.
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