Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2023-03-14 09:55 |
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 pp.48-53 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:00 |
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 pp.61-66 |
IBISML |
2012-03-12 14:40 |
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 pp.35-42 |
IBISML |
2010-11-04 15:00 |
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 pp.51-58 |
NC, MBE (Joint) |
2008-12-20 14:55 |
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 pp.49-54 |
NC, MBE (Joint) |
2008-03-12 16:30 |
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 pp.85-90 |
NC |
2008-01-15 13:30 |
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 pp.1-6 |
NC |
2007-05-21 16:00 |
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 pp.23-28 |
NC |
2006-07-14 13:00 |
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 pp.1-6 |
NC |
2006-03-17 15:20 |
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 pp.125-130 |