Title:
INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/048078
Kind Code:
A1
Abstract:
Provided are an information processing method, an information processing device, and a program which extract subsets having domain generalizability. This information processing method, which is executed by one or more processors, comprises: extracting, by the one or more processors, subsets of data sets to be analyzed under specified conditions; and evaluating, by the one or more processors, the domain generalizability of the extracted subsets. The domain generalizability of a subset indicates how little the classification performance or prediction performance of classification models or prediction models that have been trained using the subset is reduced due to changes in the joint probability distribution of the explanatory and objective variables due to changes in various conditions of the data generation process, or how high the classification performance or prediction performance is in such cases.
Inventors:
SATO MASAHIRO (JP)
UMEKAWA MASAO (JP)
UMEKAWA MASAO (JP)
Application Number:
PCT/JP2023/025262
Publication Date:
March 07, 2024
Filing Date:
July 07, 2023
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
G06N20/00
Foreign References:
| US20170220897A1 | 2017-08-03 |
Other References:
ASHIKAWA, HIROTO ET AL.: "Domain Generalization of RNN Language Models Using Domain Attribute Information.", SPRING AND AUTUMN MEETING OF THE ACOUSTICAL SOCIETY OF JAPAN, ACOUSTICAL SOCIETY OF JAPAN, JP, 2 April 2019 (2019-04-02) - 7 March 2019 (2019-03-07), JP , pages 927 - 930, XP009552867, ISSN: 1880-7658
GARG VIKAS K, KALAI ADAM, LIGETT KATRINA, WU ZHIWEI STEVEN: "Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, ARXIV.ORG, ITHACA, 13 February 2020 (2020-02-13), Ithaca, XP093143281, Retrieved from the Internet [retrieved on 20240320], DOI: 10.48550/arxiv.2002.05660
GARG VIKAS K, KALAI ADAM, LIGETT KATRINA, WU ZHIWEI STEVEN: "Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, ARXIV.ORG, ITHACA, 13 February 2020 (2020-02-13), Ithaca, XP093143281, Retrieved from the Internet
Attorney, Agent or Firm:
MATSUURA Kenzo (JP)
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