Information and Systems-Neurocomputing(Date:2002/01/22)

Presentation
表紙

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[Date]2002/1/22
[Paper #]
目次

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[Date]2002/1/22
[Paper #]
Bayesian Stochastic Complexity and Its convergence in Law

Sumio Watanabe,  

[Date]2002/1/22
[Paper #]
Probabilistic Information Processing and Statistical Physics

Jun-ichi INOUE,  

[Date]2002/1/22
[Paper #]
Reconstructions and Predictions of Nonlinear Dynamical Systems : A Bayesian Approach

Takashi MATSUMOTO,  

[Date]2002/1/22
[Paper #]
New Development of the EM algorithm : Variational Bayes

Naonori UEDA,  

[Date]2002/1/22
[Paper #]
A variational Bayes learning for normalized Gaussian network

Shin Ishii,  Masa-aki Sato,  

[Date]2002/1/22
[Paper #]
Graphical Models and Variational Principles for Mean Field Approximations

Yoshiyuki KABASHIMA,  

[Date]2002/1/22
[Paper #]
Statistical Mechanics of Broadcast Channels Using LDPC Codes

Kazutaka NAKAMURA,  MORELOS-ZARAGOZA Robert,  SAAD David,  Yoshiyuki KABASHIMA,  

[Date]2002/1/22
[Paper #]
A Consideration on q-Wavelet

Takashi WATANABE,  Masaru TANAKA,  Taketoshi MISHIMA,  

[Date]2002/1/22
[Paper #]
A Study on Modeling Genetic Algorithms by using Neural Networks

Jun-ichi IMAI,  Hiroyuki SHIOYA,  Tsutomu DA-TE,  

[Date]2002/1/22
[Paper #]
Predictive Arm Stiffness Regulation for Different Stabilities of External Dynamics

Hiroaki GOMI,  Naoki SAIJYO,  

[Date]2002/1/22
[Paper #]
A Model of Smooth Pursuit Eye Movements Based on Bayes Filter

Shinya Taguchi,  Hiromitsu Tabata,  Tomohiro Shibata,  Kenji Doya,  Mitsuo Kawato,  

[Date]2002/1/22
[Paper #]
Reinforcement Learning and Goal Estimation by Multiple Forward and Reward Models

Norikazu SUGIMOTO,  Kazuyuki SAMEJIMA,  Kenji DOYA,  Mitsuo KAWATO,  

[Date]2002/1/22
[Paper #]
Analysis of a Sparsely Coupled Map System

Koji WAKUI,  Yoshiyuki KABASHIMA,  

[Date]2002/1/22
[Paper #]
Mixture of Asymmetric Gaussians and Its Maximum Likelihood Estimation

Tsuyoshi KATO,  Shinichiro OMACHI,  Hirotomo ASO,  

[Date]2002/1/22
[Paper #]
Multi-thread Search with Deterministic Annealing EM Algorithm

Masaharu TAKADA,  Ryohei NAKANO,  

[Date]2002/1/22
[Paper #]
Neural Network Pruning using MV Regularizer

Takashi NAGATA,  Atsushi KAWATA,  Ken-ichi YAMADA,  Ryohei NAKANO,  

[Date]2002/1/22
[Paper #]
Model Selection and Local Optimality in Learning Dynamical Systems using Recurrent Neural Networks

Toshiharu YOKOYAMA,  Ken-ichi TAKESHIMA,  Ryohei NAKANO,  

[Date]2002/1/22
[Paper #]
Multi-winner Feedforward Self-organizing Neural Network a Distributed Representation of Information

Yoshifusa Wada,  

[Date]2002/1/22
[Paper #]
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