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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2019-03-05
14:00
Tokyo RIKEN AIP Expressive power of skip connection and network architecture
Jumpei Nagase, Tetsuya Ishiwata (Shibaura Inst. of Tech.) IBISML2018-106
Model design is one of research topics in deep learning. Proposing a better model has been extensively studied, but ther... [more] IBISML2018-106
pp.9-15
ICM, LOIS 2019-01-24
14:00
Kagoshima   Analysis of behaviors of audience in presentations (Third report)
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ICM2018-39 LOIS2018-45
In presentations using slides, lecturers have to estimate the interests of the audience based on the behaviors of the au... [more] ICM2018-39 LOIS2018-45
pp.21-26
NC, MBE
(Joint)
2010-03-11
14:10
Tokyo Tamagawa University Neural Network Model for Sequential Learning of Time-series can Learn the Stimulus Equivalence
Jun Uchida, Hiroyuki Okada (Tamagawa Univ.) NC2009-168
If human being is trained to choose the stimulus (B) corresponding to other one (A), he or she can choose A for the pres... [more] NC2009-168
pp.473-478
NLP 2009-02-28
16:35
Kanagawa   Response Properties of Chaotic Neural Network Model to Memory Pattern Flagments
Toshiyuki Hamada, Jousuke Kuroiwa, Hisakazu Ogura, Tomohiro Odaka, Haruhiko Shirai (Univ of Fukui) NLP2008-149
In this paper, we investigate response properties to memory pattern fragments
in chaotic wandering states among three ... [more]
NLP2008-149
pp.101-106
NLP 2009-02-28
16:55
Kanagawa   Delay Feedback Control to Chaotic Neural Network Model
Kouta Teramoto, Jousuke Kuroiwa, Hisakazu Ogura, Tomohiro Odaka, Haruhiko Shirai (Univ of Fukui) NLP2008-150
In this paper, we investigate a delay feedback control to chaotic wandering states in chaotic neural network model. In m... [more] NLP2008-150
pp.107-111
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