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Committee Date Time Place Paper Title / Authors Abstract Paper #
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
An extension of the Sinkhorn divergence via convex combination of the bias correction term
Kyohei Miwa, Yu Nishiyama (UEC) NC2022-100
Sinkhorn divergence (SD) is a divergence in which a bias correction term is added to the entropic optimal transport (EOT... [more] NC2022-100
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
Okinawa Okinawa Institute of Science and Technology A Study of Numerical Prediction of 2-hour Plasma Glucose Level during OGTT using Machine Learning
Katsutoshi Maeta, Yu Nishiyama (UEC), Kazutoshi Fujibayashi (JUN), Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima (NTT Medical Center Tokyo), Toshio Naito (JUN) IBISML2018-9
Oral glucose tolerance test (OGTT) is a method used to diagnose diabetes. Subjects take a 75 g glucose solution in a sho... [more] IBISML2018-9
IBISML 2012-03-12
Tokyo The Institute of Statistical Mathematics Kernel Bellman Equations in POMDPs
Yu Nishiyama (ISM), Abdeslam Boularias (MPI), Arthur Gretton (UCL), Kenji Fukumizu (ISM) IBISML2011-92
We propose to handle POMDPs in reproducing kernel Hilbert spaces (RKHSs) using recent kernel methods of embedding distri... [more] IBISML2011-92
IBISML 2010-11-04
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Probabilistic Inference by minimizing the TRW Free Energy using CCCP
Yu Nishiyama (RIKEN), Xingyao Ye, Alan L. Yuille (UCLA) IBISML2010-66
We propose a family of convergent double-loop algorithms which minimize the TRW free energy. These algorithms are based ... [more] IBISML2010-66
Aichi Nagoya Inst. Tech. A CDMA Multiuser Demodulation Algorithm Based on NCCCP
Yu Nishiyama (Tokyo Tech), Yukinori Tonosaki (Toshiba), Sumio Watanabe (Tokyo Tech) NC2008-81
For CDMA demodulation problem in mobile communication technology, analyses of performance and developments of algorithms... [more] NC2008-81
Tokyo Tamagawa Univ An Extension of CCCP Algorithm for Bethe Free Energy
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-126
Belief Propagation (BP) is an efficient algorithm for computing marginal probabilities of a high-dimensional probability... [more] NC2007-126
NC 2008-01-15
Hokkaido Centennial Hall, Hokkaido Univ. Analytical and Numerical Solutions of Bethe Approximation in Normal Distributions
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. Tech.) NC2007-87
For the calculation of marginal distributions, which require the huge computational cost, the algorithm called belief pr... [more] NC2007-87
NC 2007-05-21
Kanagawa Tokyo Inst. Tech.(Suzukakedai Campus) Theoretical Analysis of Accuracy of Belief Propagation in Gaussian Models
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-6
Belief propagation (BP) is an algorithm which can compute marginal probability distributions with a tractable computatio... [more] NC2007-6
NC 2006-07-14
Tokyo Waseda University Asymptotic Behavior of Free Energy of General Boltzmann Machines in Mean Field Approximation
Yu Nishiyama, Sumio Watanabe (T.I.Tech)
In the Bayesian learning, which generally requires huge computational costs, the algorithms based on the mean field appr... [more] NC2006-38
NC 2006-03-17
Tokyo Tamagawa University Asymptotic free energy of complete bipartite Boltzmann machine in mean field approximation
Yu Nishiyama, Sumio Watanabe (Tokyo Tech)
In the learning of singular learning machines, the superiority of Bayesian learning is shown. However, it requires huge ... [more] NC2005-172
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