Title:
FEATURE AMOUNT SELECTION DEVICE, FEATURE AMOUNT SELECTION METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/047879
Kind Code:
A1
Abstract:
This feature amount selection device (30) comprises: a distribution estimating unit (31) that acquires pieces of learning data at each point in time and one or more feature amounts of the pieces of learning data, estimates a distribution function of the pieces of learning data on the basis of the pieces of learning data and the one or more feature amounts, and derives one or more parameters from the distribution function; and a feature amount determining unit (32) that, for each parameter, calculates a correlation coefficient of the parameters and the feature amounts, and selects a feature amount for which the correlation coefficient is greater than a first threshold.
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Inventors:
YAMADA YUKI (JP)
KOSUGI TOMOYA (JP)
TAKESHITA ERINA (JP)
MORITA AKIHIRO (JP)
YOSHIHARA SHINICHI (JP)
KOSUGI TOMOYA (JP)
TAKESHITA ERINA (JP)
MORITA AKIHIRO (JP)
YOSHIHARA SHINICHI (JP)
Application Number:
PCT/JP2022/033192
Publication Date:
March 07, 2024
Filing Date:
September 02, 2022
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G06N3/02
Domestic Patent References:
WO2021002464A1 | 2021-01-07 |
Foreign References:
JP2018088080A | 2018-06-07 | |||
JP2020071524A | 2020-05-07 | |||
US20200082013A1 | 2020-03-12 |
Attorney, Agent or Firm:
SUGIMURA Kenji (JP)
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