Invention Grant
- Patent Title: Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning
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Application No.: US16718164Application Date: 2019-12-17
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Publication No.: US11562178B2Publication Date: 2023-01-24
- Inventor: Jingxiao Cai , Sandeep Agrawal , Sam Idicula , Venkatanathan Varadarajan , Anatoly Yakovlev , Nipun Agarwal
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Hickman Becker Bingham Ledesma LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/00

Abstract:
According to an embodiment, a method includes generating a first dataset sample from a dataset, calculating a first validation score for the first dataset sample and a machine learning model, and determining whether a difference in validation score between the first validation score and a second validation score satisfies a first criteria. If the difference in validation score does not satisfy the first criteria, the method includes generating a second dataset sample from the dataset. If the difference in validation score does satisfy the first criteria, the method includes updating a convergence value and determining whether the updated convergence value satisfies a second criteria. If the updated convergence value satisfies the second criteria, the method includes returning the first dataset sample. If the updated convergence value does not satisfy the second criteria, the method includes generating the second dataset sample from the dataset.
Public/Granted literature
- US20200342265A1 ADAPTIVE SAMPLING FOR IMBALANCE MITIGATION AND DATASET SIZE REDUCTION IN MACHINE LEARNING Public/Granted day:2020-10-29
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