Invention Grant
- Patent Title: Ensemble learning prediction apparatus and method, and non-transitory computer-readable storage medium
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Application No.: US15392377Application Date: 2016-12-28
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Publication No.: US10769550B2Publication Date: 2020-09-08
- Inventor: Hsin-Lung Hsieh , Chuang-Hua Chueh
- Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
- Applicant Address: TW Hsinchu
- Assignee: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
- Current Assignee: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
- Current Assignee Address: TW Hsinchu
- Agency: Muncy, Geissler, Olds & Lowe, P.C.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@7f2da228
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F16/28 ; G06F16/35 ; G06K9/62

Abstract:
The disclosure is directed to an ensemble learning prediction apparatus. The apparatus includes a loss module, a diversity module, a sample weight module, and an integrating weight module. The loss module, the diversity module and the sample weight module calculate a loss, a diversity and a sample weight, respectively. An ensemble weight is learned by an object function built by the loss, diversity and the sample weight. The integrating weight module calculates an adaptive ensemble weight by integrating the ensemble weight and previous ensemble weights at a plurality of previous time points.
Public/Granted literature
- US20180137427A1 ENSEMBLE LEARNING PREDICTION APPARATUS AND METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM Public/Granted day:2018-05-17
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