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Technical Committee on Neurocomputing (NC)  (Searched in: 2011)

Search Results: Keywords 'from:2012-01-26 to:2012-01-26'

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 24  /  [Next]  
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
 Results 1 - 20 of 24  /  [Next]  
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