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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, CCS 2021-06-11
Online Online Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10
In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] NLP2021-10 CCS2021-10
IT 2012-09-28
Gunma Kusatsu Seminar House A Quantizer Design Method Based on Mutual Information Criteria for MIMO System
Manabu Kobayashi (SIT), Hideki Yagi (UEC), Hiroshi Ninomiya (SIT), Shigeichi Hirasawa (Waseda Univ.) IT2012-41
B. M. Kurkoski et al. have proposed a quantizer design method based on the maximization of the mutual information.
Furt... [more]
IBISML 2012-03-13
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]
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