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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Realizing Large Scale Model by Integration of Stochastic Models -- Implementation and Evaluation of Integrated Model of VAE, GMM, HMM and MLDA --
Ryo Kuniyasu, Tomoaki Nakamura, Tatsuya Aoki (UEC), Akira Taniguchi, Ryo Ozaki, Tomoro Ishimine (Ritsumeikan Univ.), Hiroki Yokoyama (Tamagawa Univ.), Tadashi Ogura (SOKENDAI), Takayuki Nagai (UEC), Tadahiro Taniguchi (Ritsumeikan Univ.) IBISML2018-77
In order to realize human-like intelligence artificially, large-scale cognitive models are required for robots to unders... [more] IBISML2018-77
pp.249-254
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Incremental Natural Actor Critic with Importance Weight Aware Update
Ryo Iwaki (Osaka Univ.), Hiroki Yokoyama (Tamagawa Univ.), Minoru Asada (Osaka Univ.) IBISML2016-81
Appropriate tuning of step-size parameter is crucial for reinforcement learning, as well as other machine learning techn... [more] IBISML2016-81
pp.251-257
MBE, NC
(Joint)
2013-03-13
14:10
Tokyo Tamagawa University Emergence of sparse representation by unsupervised learning with kernel functions
Hiroki Yokoyama, Osamu Watanabe (Muroran Inst. of Tech.) NC2012-144
 [more] NC2012-144
pp.61-66
MBE, NC
(Joint)
2012-03-14
14:10
Tokyo Tamagawa University Emergence of even-symmetric response property of complex cell by hierarchical Bayesian model
Hiroki Yokoyama, Osamu Watanabe (Muroran Inst. Tech.) NC2011-130
Neurons in the primary visual cortex (V1) can be classified into two types: simple- and complex-cells. Many statistical ... [more] NC2011-130
pp.51-56
NC, MBE
(Joint)
2011-03-09
13:20
Tokyo Tamagawa University A method for probing neuronal response property considering piecewise linearity
Hiroki Yokoyama, Osamu Watanabe (Muroran Inst. Tech.) NC2010-191
Reverse correlation techniques have been used in many physiological experiments, which reveal precise linear receptive f... [more] NC2010-191
pp.379-384
NC, MBE
(Joint)
2010-03-11
14:35
Tokyo Tamagawa University Complex pattern recognition based on multilayer predictive coding model
Hiroki Yokoyama, Osamu Watanabe (Muroran Inst. of Tech.) NC2009-169
Predictive coding model is a hierarchical model
that explains the computational role of reciprocal connections between ... [more]
NC2009-169
pp.479-484
 Results 1 - 6 of 6  /   
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