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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2020-01-09
16:20
Tokyo ISM Evaluation of effective degree of freedom of physical model by learning capacity
Yoh-ichi Mototake (ISM), Kenji Nagata (NIMS) IBISML2019-25
 [more] IBISML2019-25
pp.53-54
NC, MBE
(Joint)
2019-03-05
15:50
Tokyo University of Electro Communications Quantitative evaluation of discriminability between natural texture images by neural populations in visual cortex using L1-logistic regression
Rina Kotani (Osaka Univ.), Hiroko Ichikawa (Tokyo University of Science), Yasuhiko Igarashi (JST/Tokyo Univ.), Yoh-ichi Mototake, Masato Okada (Tokyo Univ.), Hiroshi Tamura (Osaka Univ./CiNet) NC2018-71
 [more] NC2018-71
pp.145-150
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Bayesian Hamiltonian Selection in X-ray Photoelectron Spectroscopy
Yoh-ichi Mototake (univ of Tokyo), Masaichiro Mizumaki (JASRI), Ichiro Akai (Kumamoto Univ), Masato Okada (univ of Tokyo) IBISML2018-89
(Advance abstract in Japanese is available) [more] IBISML2018-89
pp.337-344
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation] Analysis of Multimodal Deep Neural Networks -- Towards the elucidation of the modality integration mechanism --
Yoh-ichi Mototake, Takashi Ikegami (unit of Tokyo) IBISML2016-97
With the rapid development of information technology in recent years,
several machine learning algorithms that integra... [more]
IBISML2016-97
pp.369-373
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