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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2023-12-21
10:55		 Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)		 On the benefits of Partial Stochastic Bayesian Neural Networks
Koki Sato, Daniel Andrade (Hiroshima Univ.) IBISML2023-36		 Bayesian neural networks (BNNs) can model uncertainty in the prediction results better than ordinary neural networks. Ho... [more] IBISML2023-36
pp.37-41
CAS, MSS, IPSJ-AL [detail] 2014-11-21
14:10		 Okinawa Nobumoto Ohama Memorial Hall (Ishigaki island) A Survey on Generation of Language-Family Tree by Applying Molecular Phylogenetic Approach
Ren Wu (Yamaguchi JC.), Yuya Matsuura, Hiroshi Matsuno (Yamaguchi Univ.) CAS2014-104 MSS2014-68		 In recent years, it has become popular to generate language-family trees of linguistics by applying the methods used in ... [more] CAS2014-104 MSS2014-68
pp.147-152
PRMU, IE, MI 2009-05-28
16:15		 Gifu Gifu Univ. Real-time estimation of human visual attention with MCMC-based particle filter
Kouji Miyazato (NTT/Okinawa National College of Tech), Akisato Kimura (NTT), Shigeru Takagi (Okinawa National College of Tech), Junji Yamato (NTT) IE2009-25 PRMU2009-16 MI2009-16		 This report proposes a new method for achieving a precise estimation of human visual attention with considerably less ex... [more] IE2009-25 PRMU2009-16 MI2009-16
pp.83-88
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