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Committee Date Time Place Paper Title / Authors Abstract Paper #
ASN, NS, RCS, SR, RCC
(Joint)		 2018-07-12
15:05		 Hokkaido Hakodate Arena [Tutorial Lecture] Reinforcement Learning: Application and Issues
Takaki Makino (Google) RCC2018-51 NS2018-68 RCS2018-113 SR2018-48 ASN2018-45		 Reinforcement learning is a machine learning framework that learns best sequence of actions through trial-and-error in d... [more] RCC2018-51 NS2018-68 RCS2018-113 SR2018-48 ASN2018-45
p.119(RCC), p.151(NS), p.161(RCS), p.129(SR), p.135(ASN)
QIT
(2nd)		 2015-05-25
11:20		 Osaka Osaka University Clustering by using quantum annealing
Shu Tanaka (Waseda Univ.), Issei Sato (Univ. of Tokyo), Kenichi Kurihara (Google), Seiji Miyashita, Hiroshi Nakagawa (Univ. of Tokyo) 		 [more]
IBISML 2013-11-12
15:45		 Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Global Solvers for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37		 Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning,
is generally per... [more]		 IBISML2013-37
pp.7-14
NLC 2012-12-19
13:20		 Tokyo Ookayama Campasu, Tokyo Institute of Technology [Invited Talk] Design for Practical Application on Natural Language Processing
Taku Kudo (Google Inc.) 		(Advance abstract in Japanese is available) [more]
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