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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2013-11-13
15:45		 Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Computationally Efficient Estimation of Squared-loss Mutual Information with Multiplicative Kernel Models
Tomoya Sakai, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-53		 emph{Squared-loss mutual information} (SMI) is a robust measure of statistical dependence between random variables.
The... [more]		 IBISML2013-53
pp.131-137
IBISML 2012-03-13
16:30		 Tokyo The Institute of Statistical Mathematics Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-107		 Feature selection is a technique to screen out less important features.
Many existing supervised feature selection alg... [more]		 IBISML2011-107
pp.139-146
IBISML 2012-03-13
16:55		 Tokyo The Institute of Statistical Mathematics Squared-loss Mutual Information Regularization
Gang Niu, Wittawat Jitkrittum, Hirotaka Hachiya (Tokyo Inst. of Tech.), Bo Dai (Purdue Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-108		 The information maximization principle is a useful alternative to the low-density separation principle and prefers proba... [more] IBISML2011-108
pp.147-153
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-06
15:50		 Hokkaido   Canonical Dependency Analysis based on Squared-loss Mutual Information
Masayuki Karasuyama, Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2011-79 IBISML2011-38		 Canonical correlation analysis (CCA) is a classical technique to iteratively find projection directions for two sets of ... [more] PRMU2011-79 IBISML2011-38
pp.173-180
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