Invention Grant
- Patent Title: Method of training neural network classification model using selected data
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Application No.: US16832694Application Date: 2020-03-27
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Publication No.: US11562167B2Publication Date: 2023-01-24
- Inventor: Andre S. Yoon , Sangwoo Shim , Yongsub Lim , Ki Hyun Kim , Byungchan Kim , JeongWoo Choi
- Applicant: MakinaRocks Co., Ltd.
- Applicant Address: KR Seoul
- Assignee: MakinaRocks Co., Ltd.
- Current Assignee: MakinaRocks Co., Ltd.
- Current Assignee Address: KR Seoul
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Priority: KR10-2019-0067175 20190607
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06K9/62 ; G06N20/00 ; G06N20/10

Abstract:
Disclosed is a non-transitory computer readable medium storing a computer program. When the computer program is executed by one or more processors of a computing device, the computer program performs the following operations for processing data, and the operations may include: determining an uncertainty level with respect to labeling criteria for each of one or more data included in a dataset; determining a similarity level for one or more data included in a data subset; and selecting at least some of data included in the dataset based on the uncertainty level and the similarity level, and additionally labeling the selected data.
Public/Granted literature
- US20200320337A1 METHOD FOR MANAGING TRAINING DATA Public/Granted day:2020-10-08
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