- 专利标题: SELECTION METHOD OF LEARNING DATA AND COMPUTER SYSTEM
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申请号: US17675445申请日: 2022-02-18
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公开(公告)号: US20230019364A1公开(公告)日: 2023-01-19
- 发明人: Yuxin LIANG , Masashi EGI
- 申请人: Hitachi Solutions, Ltd.
- 申请人地址: JP Tokyo
- 专利权人: Hitachi Solutions, Ltd.
- 当前专利权人: Hitachi Solutions, Ltd.
- 当前专利权人地址: JP Tokyo
- 优先权: JP2021-117000 20210715
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06F3/0482
摘要:
A computer system accurately selects learning data for improving a prediction accuracy of a predictor, and is connected to a database that stores a plurality of pieces of learning data and information for managing a plurality of predictors generated under different learning conditions. A target predictor is selected, an influence degree representing strength of an influence of the learning data on a prediction accuracy of the target predictor for test data is calculated for each of a plurality of pieces of test data, an influence score of the learning data is calculated for the plurality of predictors based on a plurality of influence degrees of the learning data associated with the predictors, and the learning data to be used is selected from the plurality of pieces of learning data on the basis of a plurality of the influence scores of each of the plurality of pieces of learning data.
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