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## Search the dblp DataBase
Shin Ishii:
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## Publications of Author- Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii
**Reinforcement Learning for CPG-Driven Biped Robot.**[Citation Graph (0, 0)][DBLP] AAAI, 2004, pp:623-630 [Conf] - Yoichiro Matsuno, Tatsuya Yamazaki, Shin Ishii
**A multi-agent reinforcement learning method for a partially-observable competitive game.**[Citation Graph (0, 0)][DBLP] Agents, 2001, pp:39-40 [Conf] - Shigeyuki Oba, Kikuya Kato, Shin Ishii
**Multi-Scale Clustering for Gene Expression Profiling Data.**[Citation Graph (0, 0)][DBLP] BIBE, 2005, pp:210-217 [Conf] - Wako Yoshida, Shin Ishii
**A model-based reinforcement learning: a computational model and an fMRI study.**[Citation Graph (0, 0)][DBLP] ESANN, 2003, pp:313-318 [Conf] - Hajime Fujita, Shin Ishii
**Model-based reinforcement learning for a multi-player card game with partial observability.**[Citation Graph (0, 0)][DBLP] IAT, 2005, pp:467-470 [Conf] - Ken-ichi Amemori, Shin Ishii
**Gaussian Process Approach to Stochastic Spiking Neurons with Reset.**[Citation Graph (0, 0)][DBLP] ICANN, 2001, pp:361-368 [Conf] - Ken-ichi Amemori, Shin Ishii
**Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model.**[Citation Graph (0, 0)][DBLP] ICANN, 2001, pp:1087-1094 [Conf] - Hajime Fujita, Yutaka Nakamura, Shin Ishii
**Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments.**[Citation Graph (0, 0)][DBLP] ICANN (1), 2006, pp:820-829 [Conf] - Yutaka Nakamura, Takeshi Mori, Shin Ishii
**An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process.**[Citation Graph (0, 0)][DBLP] ICANN (2), 2005, pp:431-436 [Conf] - Shigeyuki Oba, Shin Ishii
**Semi-supervised Significance Score of Differential Gene Expressions.**[Citation Graph (0, 0)][DBLP] ICANN (2), 2006, pp:808-817 [Conf] - Shigeyuki Oba, Masa-aki Sato, Shin Ishii
**On-Line Learning Methods for Gaussian Processes.**[Citation Graph (0, 0)][DBLP] ICANN, 2001, pp:292-299 [Conf] - Shigeyuki Oba, Masa-aki Sato, Shin Ishii
**Prior Hyperparameters in Bayesian PCA.**[Citation Graph (0, 0)][DBLP] ICANN, 2003, pp:271-279 [Conf] - Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii
**Missing Value Estimation Using Mixture of PCAs.**[Citation Graph (0, 0)][DBLP] ICANN, 2002, pp:492-497 [Conf] - Masa-aki Sato, Yutaka Nakamura, Shin Ishii
**Reinforcement Learning for Biped Locomotion.**[Citation Graph (0, 0)][DBLP] ICANN, 2002, pp:777-782 [Conf] - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
**Hierarchical Model Selection for NGnet Based on Variational Bayes Inference.**[Citation Graph (0, 0)][DBLP] ICANN, 2002, pp:661-666 [Conf] - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
**System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] ICANN, 2003, pp:123-131 [Conf] - Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii
**Clustering of Gene Expression Data by Mixture of PCA Models.**[Citation Graph (0, 0)][DBLP] ICANN, 2002, pp:522-527 [Conf] - Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii
**Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers.**[Citation Graph (0, 0)][DBLP] ICANN (2), 2005, pp:337-342 [Conf] - Yasuo Nagayuki, Shin Ishii, Kenji Doya
**Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model.**[Citation Graph (0, 0)][DBLP] ICMAS, 2000, pp:215-221 [Conf] - Ken-ichi Amemori, Shin Ishii
**Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information.**[Citation Graph (0, 0)][DBLP] ICONIP, 1998, pp:1285-1288 [Conf] - Masa-aki Sato, Shin Ishii
**On-Line EM Algorithm for Mixture of Local Experts.**[Citation Graph (0, 0)][DBLP] ICONIP, 1998, pp:1397-1401 [Conf] - Taku Yoshioka, Shin Ishii, Minoru Ito
**Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] ICONIP, 1998, pp:841-844 [Conf] - Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
**Switching Particle Filters for Efficient Real-time Visual Tracking.**[Citation Graph (0, 0)][DBLP] ICPR (2), 2004, pp:720-723 [Conf] - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
**On-Line EM Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] IJCNN (3), 2000, pp:163-168 [Conf] - Masa-aki Sato, Shin Ishii
**Reinforcement Learning Based on On-Line EM Algorithm.**[Citation Graph (0, 0)][DBLP] NIPS, 1998, pp:1052-1058 [Conf] - Yutaka Nakamura, Takeshi Mori, Shin Ishii
**Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot.**[Citation Graph (0, 0)][DBLP] PPSN, 2004, pp:972-981 [Conf] - Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii
**A Bayesian missing value estimation method for gene expression profile data.**[Citation Graph (0, 0)][DBLP] Bioinformatics, 2003, v:19, n:16, pp:2088-2096 [Journal] - Ken-ichi Amemori, Shin Ishii
**Self-organization of delay lines by spike-time-dependent learning.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2004, v:61, n:, pp:291-316 [Journal] - Shin Ishii, Masa-aki Sato
**Doubly constrained network for combinatorial optimization.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2002, v:43, n:1-4, pp:239-257 [Journal] - Wako Yoshida, Shin Ishii
**Model-based reinforcement learning: a computational model and an fMRI study.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2005, v:63, n:, pp:253-269 [Journal] - Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii
**Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2006, v:69, n:16-18, pp:1954-1961 [Journal] - Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno
**A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2005, v:59, n:1-2, pp:31-54 [Journal] - Ken-ichi Amemori, Shin Ishii
**Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2001, v:13, n:12, pp:2763-2797 [Journal] - Shin Ishii, Hirotaka Niitsuma
**-Opt Neural Approaches to Quadratic Assignment Problems.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:9, pp:2209-2225 [Journal] - Shin-ichi Maeda, Wen-Jie Song, Shin Ishii
**Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2005, v:17, n:1, pp:115-144 [Journal] - Masa-aki Sato, Shin Ishii
**On-line EM Algorithm for the Normalized Gaussian Network.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:2, pp:407-432 [Journal] - Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii
**Bayesian representation learning in the cortex regulated by acetylcholine.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2004, v:17, n:10, pp:1391-1400 [Journal] - Shin Ishii, Masa-aki Sato
**Reconstruction of chaotic dynamics by on-line EM algorithm.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2001, v:14, n:9, pp:1239-1256 [Journal] - Shin Ishii, Masa-aki Sato
**Chaotic Potts Spin Model for Combinatorial Optimization Problems.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1997, v:10, n:5, pp:941-963 [Journal] - Shin Ishii, Masa-aki Sato
**Constrained neural approaches to quadratic assignment problems.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1998, v:11, n:6, pp:1073-1082 [Journal] - Shin Ishii, Wako Yoshida, Junichiro Yoshimoto
**Control of exploitation-exploration meta-parameter in reinforcement learning.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2002, v:15, n:4-6, pp:665-687 [Journal] - Yuichi Sakumura, Shin Ishii
**Stochastic resonance with differential code in feedforward network with intra-layer random connections.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2006, v:19, n:4, pp:469-476 [Journal] - Yasunobu Igarashi, Yuichi Sakumura, Shin Ishii
**The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2006, v:19, n:8, pp:1137-1152 [Journal] - Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii
**Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot.**[Citation Graph (0, 0)][DBLP] Robotics and Autonomous Systems, 2006, v:54, n:12, pp:982-988 [Journal] - Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
**Switching particle filters for efficient visual tracking.**[Citation Graph (0, 0)][DBLP] Robotics and Autonomous Systems, 2006, v:54, n:10, pp:873-884 [Journal] - Yoichiro Matsuno, Tatsuya Yamazaki, Jun Matsuda, Shin Ishii
**A multiagent reinforcement learning method based on the model inference of the other agents.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2002, v:33, n:12, pp:67-76 [Journal] - Hirotaka Niitsuma, Shin Ishii, Minoru Ito
**Analog**[Citation Graph (0, 0)][DBLP]*lambda*-opt approach to quadratic assignment problem. Systems and Computers in Japan, 2000, v:31, n:10, pp:1-9 [Journal] - Shigeyuki Oba, Masa-aki Sato, Shin Ishii
**Variational Bayes method for Mixture of Principal Component Analyzers.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2003, v:34, n:11, pp:55-66 [Journal] - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
**Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2001, v:32, n:5, pp:12-20 [Journal] - Yasunori Ishihara, Shin Ishii, Hiroyuki Seki, Minoru Ito
**Temporal Reasoning about Two Concurrent Sequences of Events.**[Citation Graph (0, 0)][DBLP] SIAM J. Comput., 2004, v:34, n:2, pp:498-513 [Journal] - Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
**Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.**[Citation Graph (0, 0)][DBLP] ICANN (2), 2007, pp:611-620 [Conf] - Yuki Taniguchi, Takeshi Mori, Shin Ishii
**Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System.**[Citation Graph (0, 0)][DBLP] ICANN (1), 2007, pp:229-238 [Conf] - Takashi Takenouchi, Shin Ishii
**Multiclass classification as a decoding problem.**[Citation Graph (0, 0)][DBLP] FOCI, 2007, pp:470-475 [Conf] - Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii
**A Probabilistic Model of MOSAIC.**[Citation Graph (0, 0)][DBLP] FOCI, 2007, pp:41-46 [Conf] - Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii
**Reinforcement learning for a biped robot based on a CPG-actor-critic method.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2007, v:20, n:6, pp:723-735 [Journal] **Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments.**[Citation Graph (, )][DBLP]**A Continuous Internal-State Controller for Partially Observable Markov Decision Processes.**[Citation Graph (, )][DBLP]**An Additive Reinforcement Learning.**[Citation Graph (, )][DBLP]**Hidden Markov Model for Human Decision Process in a Partially Observable Environment.**[Citation Graph (, )][DBLP]**Noise-Induced Collective Migration for Neural Crest Cells.**[Citation Graph (, )][DBLP]**Learning color image expansion filters.**[Citation Graph (, )][DBLP]**A semiparametric statistical approach to model-free policy evaluation.**[Citation Graph (, )][DBLP]**Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.**[Citation Graph (, )][DBLP]**Optimization of Parametric Companding Function for an Efficient Coding.**[Citation Graph (, )][DBLP]**Bayesian Collaborative Predictors for General User Modeling Tasks.**[Citation Graph (, )][DBLP]**Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking.**[Citation Graph (, )][DBLP]**Interpreting Dopamine Activities in Stochastic Reward Tasks.**[Citation Graph (, )][DBLP]**On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration.**[Citation Graph (, )][DBLP]**Learning of Go Board State Evaluation Function by Artificial Neural Network.**[Citation Graph (, )][DBLP]**Robust Approximation in Decomposed Reinforcement Learning.**[Citation Graph (, )][DBLP]**A Closed-Form Estimator of Fully Visible Boltzmann Machines.**[Citation Graph (, )][DBLP]**Superresolution from Occluded Scenes.**[Citation Graph (, )][DBLP]**A probabilistic decoding approach to multi-class classification.**[Citation Graph (, )][DBLP]**Estimation of the Source-Filter Model Using Temporal Dynamics.**[Citation Graph (, )][DBLP]**Heterogeneous Component Analysis.**[Citation Graph (, )][DBLP]**Dynamic Exponential Family Matrix Factorization.**[Citation Graph (, )][DBLP]**Optimal Online Learning Procedures for Model-Free Policy Evaluation.**[Citation Graph (, )][DBLP]**Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic.**[Citation Graph (, )][DBLP]**Reinforcement learning for a snake-like robot controlled by a central pattern generator.**[Citation Graph (, )][DBLP]**Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals.**[Citation Graph (, )][DBLP]**Semi-supervised discovery of differential genes.**[Citation Graph (, )][DBLP]
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