Invention Application
- Patent Title: METHOD AND DEVICE WITH RESERVOIR MANAGEMENT AND NEURAL NETWORK ONLINE LEARNING
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Application No.: US17348678Application Date: 2021-06-15
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Publication No.: US20220012588A1Publication Date: 2022-01-13
- Inventor: Seonmin RHEE , Chris Dongjoo KIM , Gunhee KIM , Jinseo JEONG , Seungju HAN
- Applicant: SAMSUNG ELECTRONICS CO., LTD. , SNU R&DB FOUNDATION
- Applicant Address: KR Suwon-si; KR Seoul
- Assignee: SAMSUNG ELECTRONICS CO., LTD.,SNU R&DB FOUNDATION
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.,SNU R&DB FOUNDATION
- Current Assignee Address: KR Suwon-si; KR Seoul
- Priority: KR10-2020-0084775 20200709,KR10-2020-0166007 20201201
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
A reservoir management method includes: in response to receiving input data to which label information is mapped, determining whether to add the input data to a reservoir based on a sampling probability; in response to determining to add the input data to the reservoir when the reservoir is filled, selecting candidate data to be removed from among sets of sample data included in the reservoir based on a target label distribution and a current label distribution of the reservoir, and removing the selected candidate data from the reservoir; and training a neural network model using sample data of the reservoir from which the selected candidate data is removed.
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