Presentation 2020-01-09
Evaluation of effective degree of freedom of physical model by learning capacity
Yoh-ichi Mototake, Kenji Nagata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # IBISML2019-25
Date of Issue 2020-01-02 (IBISML)

Conference Information
Committee IBISML
Conference Date 2020/1/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) ISM
Topics (in Japanese) (See Japanese page)
Topics (in English) Machine learning, etc.
Chair Hisashi Kashima(Kyoto Univ.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST)
Assistant Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of effective degree of freedom of physical model by learning capacity
Sub Title (in English)
Keyword(1)
1st Author's Name Yoh-ichi Mototake
1st Author's Affiliation Institute of Statistical Mathematics(ISM)
2nd Author's Name Kenji Nagata
2nd Author's Affiliation National Institute for Materials Science(NIMS)
Date 2020-01-09
Paper # IBISML2019-25
Volume (vol) vol.119
Number (no) IBISML-360
Page pp.pp.53-54(IBISML),
#Pages 2
Date of Issue 2020-01-02 (IBISML)