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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)		 2020-03-06
14:55		 Tokyo University of Electro Communications
(Cancelled but technical report was issued)		 Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering
Kazuki Osawa, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2019-113		 Recently, applications of Deep Learning(AI) for solving social problems have been frequently proposed. However, there ar... [more] NC2019-113
pp.213-218
NC 2014-01-21
11:15		 Fukuoka Kyusyu Institute of Technology An approach to develop the game agent based on Self-Organizing Map and Reinforcement learning
Keiji Kamei, Yuuki Kakizoe (Nishinippon Inst. of Tech.) NC2013-80		  [more] NC2013-80
pp.79-84
NC 2012-10-05
16:10		 Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) Acceleration of Character Recognition using CUDA-SOM
Shinji Kawakami, Keiji Kamei (Nishitech) NC2012-59		  [more] NC2012-59
pp.133-137
NC 2011-10-20
10:20		 Fukuoka Ohashi Campus, Kyushu Univ. Reduction of order for states in a board game using Self-Organizing Maps
Yuuki Kakizoe, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2011-61		 Generally speaking, to make agents which play board games such as Chess, Syogi and Othello is associated with difficulty... [more] NC2011-61
pp.95-100
NC 2007-03-14
16:20		 Tokyo Tamagawa University Prediction of the optimal parameter values in reinforcement learning based on interdependency
Keiji Kamei, Masumi Ishikawa (KIT) 		Reinfoecement learning is that we have to specify parameters values without prior information. We proposed to optimize t... [more] NC2006-150
pp.191-196
NC 2006-03-17
15:20		 Tokyo Tamagawa University Dependency of parameters in reinforcement learning for a mobile robot on the environment
Keiji Kamei, Masumi Ishikawa (KIT) 		 [more] NC2005-161
pp.61-66
 Results 1 - 6 of 6  /   
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