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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2017-06-29 13:30 |
Ibaraki | Ibaraki Univ. | A Complex-Valued Reinforcement Learning Method Using Complex-Valued Neural Networks Masaki Mochida, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)  CCS2017-1 |
This paper proposes the method to approximate the action-value function in complex-valued reinforcement learning by usin... [more] | CCS2017-1 pp.1-5 |
| CS | 2013-11-14 08:30 |
Hokkaido | Noboribetsu-onsen Dai-ichi Takimotokan (Hokkaido) | A Method for Determining Parameters for 6-Point Cubic Convolution Interpolation Hiromi Ueda (Tokyo Univ. of Tech.) CS2013-41 |
The cubic convolution interpolation gives a line connected smoothly between any adjacent points for given points using c... [more] | CS2013-41 pp.1-8 |
| 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 |
| NC | 2009-01-19 11:45 |
Hokkaido | Hokkaido Univ. | A probabilistic model of maximum margin matrix factorization with ARD prior Masahiro Furuya (Nara Inst. of Scie and Tech), Shigeyuki Oba (Kyoto Univ.), Shin Ishii (Nara Inst.of Scie and Tech/Kyoto Univ.) NC2008-85 |
Various methods for missing value estimation of matrix data have been proposed based on low-rank approximation of matrix... [more] | NC2008-85 pp.19-24 |
| MBE, NC (Joint) |
2007-12-22 15:45 |
Aichi | Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama (Tokyo Inst. of Tech.) NC2007-84 |
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past. A common approach i... [more] | NC2007-84 pp.75-80 |
|
| NLP | 2007-12-19 17:05 |
Fukui | Stochastic Lyapunov Function Design using Quantization of Markov Process Yuki Nishimura, Yuh Yamashita (Hokkaido Univ.) NLP2007-117 |
In this paper, we propose a stochastic Lyapunov function design method using a difference approximation scheme and quant... [more] | NLP2007-117 pp.47-52 |
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| AP | 2007-03-09 09:40 |
Overseas | Taiwan (Yuan Ze Univ.) | Approxmation of Largest Eigenvalue Distribution of Noncentral Wishart Matrices for Analysis of MIMO Rician Channels Tetsuki Taniguchi, Shen Sha, Yoshio Karasawa (Univ. of Electro-Comm.), Makoto Tsuruta (Toshiba) AP2006-158 |
(To be available after the conference date) [more] | AP2006-158 pp.65-68 |
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