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Committee Date Time Place Paper Title / Authors Abstract Paper #
WBS, IT, ISEC 2021-03-04
10:55		 Online Online An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34		 In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] IT2020-115 ISEC2020-45 WBS2020-34
pp.19-24
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS 2015-03-04
10:50		 Hokkaido   Optimality and Equilibrium of Exploration Ratio for Multiagent Learning in Nonstationary Environments
Itsuki Noda (AIST) AI2014-43		 Relations among
exploration ratio,
total performance of multiagent learning,
and relative performance of individual ... [more]		 AI2014-43
pp.17-22
COMP 2008-06-16
11:00		 Ishikawa JAIST A Context Tree Weighting Algorithm with an Adaptive Window
Tomohiro I, Kohei Hatano, Hideo Bannai, Masayuki Takeda (Kyushu Univ.) COMP2008-17		 The Context Tree Weighting Method (CTW) is one of the most effective algorithm in the area of universal data compression... [more] COMP2008-17
pp.15-22
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