Title:
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/080012
Kind Code:
A1
Abstract:
This information processing device acquires an acquisition function using the kernel mean embedding of conditional distribution that is estimated from a dataset obtained through data sampling. The information processing device determines, on the basis of the acquisition function, a sampling point at which to acquire data. The information processing device acquires data at the determined sampling point.
Inventors:
YAMADA SO (JP)
SAITO ATSUMI (JP)
YAMAZAKI KEISUKE (JP)
WASHIO TAKASHI (JP)
SAITO ATSUMI (JP)
YAMAZAKI KEISUKE (JP)
WASHIO TAKASHI (JP)
Application Number:
PCT/JP2023/031102
Publication Date:
April 18, 2024
Filing Date:
August 29, 2023
Export Citation:
Assignee:
NEC CORP (JP)
AIST (JP)
AIST (JP)
International Classes:
G06F17/10; G06N99/00
Domestic Patent References:
| WO2019244474A1 | 2019-12-26 |
Other References:
JUNGTAEK KIM; MICHAEL MCCOURT; TACKGEUN YOU; SAEHOON KIM; SEUNGJIN CHOI: "Bayesian Optimization with Approximate Set Kernels", ARXIV.ORG, 25 January 2021 (2021-01-25), XP081864561
SAITO. ATSUMI ET AL.: "Efficient and Fast method Using Data Assimilation and Machine Learning for polymer material simulation", PROCEEDINGS OF THE CONFERENCE ON COMPUTATIONAL ENGINEERING AND SCIENCE
SAITO. ATSUMI ET AL.: "Efficient and Fast method Using Data Assimilation and Machine Learning for polymer material simulation", PROCEEDINGS OF THE CONFERENCE ON COMPUTATIONAL ENGINEERING AND SCIENCE
Attorney, Agent or Firm:
MATSUNUMA Yasushi et al. (JP)
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