Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC |
2012-01-26 09:00 |
Hokkaido |
Future University Hakodate |
Storage capacity of the associative memory model with the zero-order synaptic decay Ryota Miyata (Tokyo Tech.), Jun Tsuzurugi (Okayama Univ. Sci.), Toru Aonishi (Tokyo Tech.), Koji Kurata (Univ. Ryukyu.) NC2011-97 |
It has been reported that synaptogenesis, formation of synaptic connection, continues to take place in certain regions o... [more] |
NC2011-97 pp.1-6 |
NC |
2012-01-26 09:25 |
Hokkaido |
Future University Hakodate |
Influence on the Storage Capacity by the Difference Between Network Structure and a Pattern Set Masaya Nakakura, Keisuke Terayama, Yukari Yamauchi (NU) NC2011-98 |
In the research field of complex networks, efficiency and performance evaluations of the network structure have been ana... [more] |
NC2011-98 pp.7-12 |
NC |
2012-01-26 09:50 |
Hokkaido |
Future University Hakodate |
Study on Sequential Associative Memory in Chaos Neural Network Yoshiaki Sato, Yukari Yamauchi (Nihon Univ.) NC2011-99 |
In this research, we propose a model of associative memory to recall the hierarchical periodic patterns. Conventional as... [more] |
NC2011-99 pp.13-18 |
NC |
2012-01-26 10:15 |
Hokkaido |
Future University Hakodate |
Statistic and dynamics of the Hopfield model with unlearning term Haruka Otani, Midori Yoshida, Tatsuya Uezu (Nara Woman's Univ.) NC2011-100 |
In the Hopfield model, there is a low temperature region where the Hopfield attractor representing a memory state and mi... [more] |
NC2011-100 pp.19-24 |
NC |
2012-01-26 10:55 |
Hokkaido |
Future University Hakodate |
Bifurcation of Simple Pulse-Coupled Spiking Neurons for Shape of Base Signals Shota Kirikawa, Takashi Ogawa, Toshimichi Saito (HU) NC2011-101 |
This paper studies a simple spiking neuron with filtered base signal and
its pulse-coupled system.
In the single neu... [more] |
NC2011-101 pp.25-29 |
NC |
2012-01-26 11:20 |
Hokkaido |
Future University Hakodate |
Analysis of Self-Organizing Digital Spike Phase Maps Narutoshi Horimoto, Takashi Ogawa, Toshimichi Saito (HU) NC2011-102 |
This paper studies digital spike maps on lattice points and its learning algorithm.
The maps can generate a variety of... [more] |
NC2011-102 pp.31-35 |
NC |
2012-01-26 11:45 |
Hokkaido |
Future University Hakodate |
Comparison and Evaluation of Growing Complex Network Generated by Similarities Keisuke Terayama, Yukari Yamauchi (NU) NC2011-103 |
We proposed a method to configure growing network based on similarities. Generated network by the proposed method shows ... [more] |
NC2011-103 pp.37-42 |
NC |
2012-01-26 13:10 |
Hokkaido |
Future University Hakodate |
[Invited Talk]
Grand Challenge in Artificial Intelligence Hitoshi Matsubara (FUN) NC2011-104 |
[more] |
NC2011-104 pp.43-46 |
NC |
2012-01-26 14:25 |
Hokkaido |
Future University Hakodate |
A recurrent network for multisensory integration
-- Identification of common sources of audiovisual stimuli -- Itsuki Yamashita (Tokyo Univ.), Kentaro Katahira (JST), Yasuhiko Igarashi (Tokyo Univ.), Kazuo Okanoya (JST), Masato Okada (Tokyo Univ.) NC2011-105 |
We percept surrounding environments using several organs of sense. How we estimate surrounding information from multisen... [more] |
NC2011-105 pp.47-52 |
NC |
2012-01-26 14:50 |
Hokkaido |
Future University Hakodate |
Cluster analysis and Gaussian mixture estimation of correlated time-series by means of multi-dimensional scaling Takero Ibuki (Hokkaido Univ.), Sei Suzuki (Aoyama-Gakuin Univ.), Jun-ichi Inoue (Hokkaido Univ.) NC2011-106 |
In this paper, we investigate cross-correlations between typical Japanese stocks collected
through Yahoo!Japan website ... [more] |
NC2011-106 pp.53-58 |
NC |
2012-01-26 15:15 |
Hokkaido |
Future University Hakodate |
The learning theory and algorithm of latent multi-dynamical systems
-- Implementation by higher-order topographic mapping -- Tetsuo Furukawa, Takashi Ohkubo (Kyutech) NC2011-107 |
The purpose of this paper is to establish the learning theory of multiple dynamical systems, as well as to develop
the ... [more] |
NC2011-107 pp.59-64 |
NC |
2012-01-26 15:40 |
Hokkaido |
Future University Hakodate |
Critical phenomena in mean-field Ising models and time-series prediction Shunsuke Higano, Jun-ichi Inoue (Hokkaido Univ.) NC2011-108 |
We propose a theoretical framework to predict several
time-series simultaneously by using cross-correlations
in fin... [more] |
NC2011-108 pp.65-70 |
NC |
2012-01-27 09:30 |
Hokkaido |
Future University Hakodate |
A statistical analysis of soft-margin support vector machines for non-separable problems Hiroyuki Funaya, Kazushi Ikeda (NAIST) NC2011-109 |
The statistical properties of SVMs for non-separable problems are studied. SVMs with hard margins are not always solvabl... [more] |
NC2011-109 pp.71-76 |
NC |
2012-01-27 09:55 |
Hokkaido |
Future University Hakodate |
A Study on Approximate Probabilistic Reasoning Algorithm for assuring and correcting accuracy results on Bayesian Networks Shuhei Wakasaki, Daisuke Kitakoshi, Masato Suzuki (TNCT) NC2011-110 |
In this paper, we propose an approximate probabilistic reasoning algorithm using the connecting structures of Bayesian n... [more] |
NC2011-110 pp.77-82 |
NC |
2012-01-27 10:20 |
Hokkaido |
Future University Hakodate |
On the Relationship between Learning Coefficient for Bayesian Estimation and Average of Acceptance Rate for Metropolis Algorithm Kenji Nagata (The Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-111 |
[more] |
NC2011-111 pp.83-88 |
NC |
2012-01-27 11:00 |
Hokkaido |
Future University Hakodate |
Analysis of evoked potentials to auditory pair stimuli for estimation of uncomfortable loudness level Kohei Fujii (NAIST), Shinobu Adachi, Koji Morikawa (Panasonic), Kazushi Ikeda (NAIST) NC2011-112 |
This paper describes the analysis of evoked potentials to auditory pair stimuli for estimation of uncomfortable loudness... [more] |
NC2011-112 pp.89-93 |
NC |
2012-01-27 11:25 |
Hokkaido |
Future University Hakodate |
Decoding performance of quantum fluctuation for Sourlas code Yosuke Otsubo (Univ. of Tokyo), Jun-ichi Inoue (Hokkaido Univ.), Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-113 |
[more] |
NC2011-113 pp.95-100 |
NC |
2012-01-27 11:50 |
Hokkaido |
Future University Hakodate |
Tensor decomposition based on self-organizing map Toru Iwasaki, Saori Wada, Tetsuo Furukawa (KIT) NC2011-114 |
The aim of this paper is to develop a nonlinear tensor decomposition
algorithm based on the self-organiing map (SOM). T... [more] |
NC2011-114 pp.101-106 |
NC |
2012-01-27 13:30 |
Hokkaido |
Future University Hakodate |
Analysis of Time Series Data Accompanied with Rewards and Actions using Reinforcement Learning Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. Tokyo) NC2011-115 |
Although the main applications of reinforcement learning (RL) is online
learning of intelligent agents working in envir... [more] |
NC2011-115 pp.107-112 |
NC |
2012-01-27 13:55 |
Hokkaido |
Future University Hakodate |
A Method to Improve Efficiency of Reinforcement Learning by Using a Vector Representation of a Policy Daiki Ando, Daisuke Kitakoshi, Masato Suzuki (TNCT) NC2011-116 |
This article proposes a novel method which improves efficiency of reinforcement learning in dynamic environments.
The p... [more] |
NC2011-116 pp.113-118 |