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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, CS 2013-03-15
15:35		 Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Towards driving behavior prediction: Applying nonparametric Bayesian approach to driving operation time series data
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata (NAIST), Takashi Bando, Masumi Egawa (DENSO) CAS2012-142 SIP2012-173 CS2012-148		 Prediction of driving behaviors is important problem in developing a next-generation driving support system. In order to... [more] CAS2012-142 SIP2012-173 CS2012-148
pp.265-270
MBE, NC
(Joint)		 2012-03-15
13:20		 Tokyo Tamagawa University Time Series Alignment with Gaussian Process Priors
Shinji Akimoto, Nobuo Suematsu, Akira Hayashi, Kazunori Iwata (Hiroshima City Univ.) NC2011-163		 We propose a nonparametric Bayesian approach to time series alignment. Given a set of time series data, we can sometimes... [more] NC2011-163
pp.245-250
IBISML 2010-06-15
09:30		 Tokyo Takeda Hall, Univ. Tokyo [Invited Talk] Statistical Machine Learning Based on Nonparametric Bayesian Models
Takaki Makino (Univ. of Tokyo.) IBISML2010-14		 Nonparametric Bayesian models are a new approach for machine learning, involving overfitting avoidance and model selecti... [more] IBISML2010-14
pp.87-94
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