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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2019-03-05
14:30
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
pp.17-22
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Hiroki Sato (Gifu Univ), Motoki Shiga (Gifu Univ./JST/RIKEN), Makoto Yamada (Kyoto Univ./JST/RIKEN) IBISML2018-52
On gene network analysis, detecting network structural changes among different cell states is necessary to understand bi... [more] IBISML2018-52
pp.61-68
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
10:00
Okinawa Okinawa Institute of Science and Technology Active Level Set Estimation with Multi-fidelity Evaluations
Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1
Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the functi... [more] IBISML2018-1
pp.1-8
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation] Estimating Proton Conductivity in Crystals by using Guassian Process and Dynamic Programming
Kenta Kanamori (NITech), Kazuaki Toyoura (Kyoto Univ.), Shinichi Nakajima (TU Berlin), Atsuto Seko (Kyoto Univ.), Masayuki Karasuyama (NITech), Akihide Kuwabara (JFCC), Junya Honda (Tokyo Univ.), Kazuki Shitara (JFCC), Motoki Shiga (Gifu Univ.), Ichiro Takeuchi (NITech) IBISML2016-73
In material science, $proton conductivity$ is very important property for designing new battery and it is defined as max... [more] IBISML2016-73
pp.191-198
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Selective sampling by using Gaussian Process and its application to material science
Daisuke Hirano (NIT), Kazuaki Toyoura (Nagoya Univ.), Atsuto Seko (Kyoto Univ.), Motoki Shiga (Gifu Univ.), Akihide Kuwabara (JFCC), Masayuki Karasuyama (NIT), Kazuki Shitara (Kyoto Univ.), Ichiro Takeuchi (NIT) IBISML2015-66
Various physical phenomena and properties of an unknown material are often revealed by exhaustively evaluating the entir... [more] IBISML2015-66
pp.99-106
NC, MBE
(Joint)
2013-12-21
10:15
Gifu Gifu University Conditional Density Estimation with Feature Selection
Motoki Shiga (Gifu Univ.), Masashi Sugiyama (Tokyo Tech.) NC2013-56
On identification of the statistical dependency between inputs and outputs, an conditional density estimation is essenti... [more] NC2013-56
pp.17-22
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Direct Conditional Probability Density Estimation based on Sparse Additive Models
Motoki Shiga (Gifu Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-43
On identification of the statistical dependency between inputs and outputs, an conditional density estimation is essenti... [more] IBISML2013-43
pp.53-60
 Results 1 - 7 of 7  /   
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