Title:
LEARNING DEVICE, LEARNING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/013847
Kind Code:
A1
Abstract:
The present invention provides a learning device, etc. for estimating rules that adversely affect a machine learning system in weakly supervised learning and presenting the rules to a subject. A learning device according to the present invention is provided with: a set of labeling functions for assigning labels to an input data set; and a discriminator that performs learning on the basis of the labeling functions. The learning device presents labeling functions to be modified or removed from the set of labeling functions on the basis of outputs from the set of labeling functions and outputs from the discriminator.
Inventors:
SAISHO OSAMU (JP)
MITANI KOKI (JP)
INOUE TOMOHIRO (JP)
MITANI KOKI (JP)
INOUE TOMOHIRO (JP)
Application Number:
PCT/JP2022/027405
Publication Date:
January 18, 2024
Filing Date:
July 12, 2022
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G06N20/00
Domestic Patent References:
| WO2021245924A1 | 2021-12-09 | |||
| WO2021249662A1 | 2021-12-16 |
Foreign References:
| JPH08255298A | 1996-10-01 |
Other References:
SAISHO OSAMU; OHGURO TAKESHI; SUN JINGYU; IMAMURA HIROSHI; TAKEUCHI SUSUMU; YOKOZEKI DAIGORO: "Human Knowledge Based Efficient Interactive Data Annotation via Active Weakly Supervised Learning", 2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS), IEEE, 22 March 2021 (2021-03-22), pages 332 - 335, XP033917131, DOI: 10.1109/PerComWorkshops51409.2021.9431067
Attorney, Agent or Firm:
NAKAO, Naoki et al. (JP)
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