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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 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Active learning for identifying local minimum points based on the derivative of Gaussian process
Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94		 In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] IBISML2018-94
pp.373-380
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
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