Shin Ishii

	2009
79		Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii: Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) 2009: 473-488
78		Takeshi Mori, Shin Ishii: An Additive Reinforcement Learning. ICANN (1) 2009: 608-617
77		Kohei Hayashi, Junichiro Hirayama, Shin Ishii: Dynamic Exponential Family Matrix Factorization. PAKDD 2009: 452-462
76		Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii: Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles. IEEE/ACM Trans. Comput. Biology Bioinform. 6(2): 333-343 (2009)
75		Takashi Takenouchi, Shin Ishii: A Multiclass Classification Method Based on Decoding of Binary Classifiers. Neural Computation 21(7): 2049-2081 (2009)
	2008
74		Yu Hiei, Takeshi Mori, Shin Ishii: Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. ICANN (1) 2008: 367-376
73		Yuki Taniguchi, Takeshi Mori, Shin Ishii: A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. ICANN (1) 2008: 397-406
72		Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii: A semiparametric statistical approach to model-free policy evaluation. ICML 2008: 1072-1079
71		Akiyo Asahina, Junichiro Hirayama, Shin Ishii: Interpreting Dopamine Activities in Stochastic Reward Tasks. ICONIP (1) 2008: 361-368
70		Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki: On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) 2008: 469-477
69		Junichiro Hirayama, Shin Ishii: A Closed-Form Estimator of Fully Visible Boltzmann Machines. ICONIP (2) 2008: 951-959
	2007
68		Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii: A Probabilistic Model of MOSAIC. FOCI 2007: 41-46
67		Takashi Takenouchi, Shin Ishii: Multiclass classification as a decoding problem. FOCI 2007: 470-475
66		Yuki Taniguchi, Takeshi Mori, Shin Ishii: Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. ICANN (1) 2007: 229-238
65		Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii: Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) 2007: 611-620
64		Tomohiro Shibata, Takashi Bando, Shin Ishii: Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. ICONIP (1) 2007: 604-613
63		Shin-ichi Maeda, Shin Ishii: Optimization of Parametric Companding Function for an Efficient Coding. ICONIP (1) 2007: 713-722
62		Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii: Bayesian Collaborative Predictors for General User Modeling Tasks. ICONIP (1) 2007: 742-751
61		Yuki Tsukada, Yuichi Sakumura, Shin Ishii: Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking. ICONIP (2) 2007: 817-826
60		Takashi Takenouchi, Shin Ishii: A probabilistic decoding approach to multi-class classification. IJCNN 2007: 2671-2676
59		Mizuki Ihara, Shin-ichi Maeda, Shin Ishii: Estimation of the Source-Filter Model Using Temporal Dynamics. IJCNN 2007: 3098-3103
58		Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii: Heterogeneous Component Analysis. NIPS 2007
57		Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii: Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. IEEE Transactions on Neural Networks 18(5): 1326-1342 (2007)
56		Hajime Fujita, Shin Ishii: Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. Neural Computation 19(11): 3051-3087 (2007)
55		Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii: Reinforcement learning for a biped robot based on a CPG-actor-critic method. Neural Networks 20(6): 723-735 (2007)
	2006
54		Hajime Fujita, Yutaka Nakamura, Shin Ishii: Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. ICANN (1) 2006: 820-829
53		Shigeyuki Oba, Shin Ishii: Semi-supervised Significance Score of Differential Gene Expressions. ICANN (2) 2006: 808-817
52		Tsuyoshi Ueno, Yutaka Nakamura, Takashi Takuma, Tomohiro Shibata, Koh Hosoda, Shin Ishii: Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic. IROS 2006: 5226-5231
51		Shigeyuki Oba, Shin Ishii: Semi-supervised discovery of differential genes. BMC Bioinformatics 7: 414 (2006)
50		Yuichi Sakumura, Shin Ishii: Stochastic resonance with differential code in feedforward network with intra-layer random connections. Neural Networks 19(4): 469-476 (2006)
49		Yasunobu Igarashi, Yuichi Sakumura, Shin Ishii: The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study. Neural Networks 19(8): 1137-1152 (2006)
48		Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii: Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. Neurocomputing 69(16-18): 1954-1961 (2006)
47		Shin Ishii, Wako Yoshida: Reinforcement Learning: Machine Learning and Natural Learning. New Generation Comput. 24(3): (2006)
46		Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii: Switching particle filters for efficient visual tracking. Robotics and Autonomous Systems 54(10): 873-884 (2006)
45		Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii: Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot. Robotics and Autonomous Systems 54(12): 982-988 (2006)
	2005
44		Shigeyuki Oba, Kikuya Kato, Shin Ishii: Multi-Scale Clustering for Gene Expression Profiling Data. BIBE 2005: 210-217
43		Hajime Fujita, Shin Ishii: Model-based reinforcement learning for a multi-player card game with partial observability. IAT 2005: 467-470
42		Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii: Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. ICANN (2) 2005: 337-342
41		Yutaka Nakamura, Takeshi Mori, Shin Ishii: An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. ICANN (2) 2005: 431-436
40		Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno: A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. Machine Learning 59(1-2): 31-54 (2005)
39		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. Neural Computation 17(1): 115-144 (2005)
38		Wako Yoshida, Shin Ishii: Model-based reinforcement learning: a computational model and an fMRI study. Neurocomputing 63: 253-269 (2005)
	2004
37		Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii: Reinforcement Learning for CPG-Driven Biped Robot. AAAI 2004: 623-630
36		Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii: Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723
35		Yutaka Nakamura, Takeshi Mori, Shin Ishii: Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. PPSN 2004: 972-981
34		Shuichi Fukunaga, Yutaka Nakamura, Kazuaki Aso, Shin Ishii: Reinforcement learning for a snake-like robot controlled by a central pattern generator. RAM 2004: 909-914
33		Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii: Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks 17(10): 1391-1400 (2004)
32		Ken-ichi Amemori, Shin Ishii: Self-organization of delay lines by spike-time-dependent learning. Neurocomputing 61: 291-316 (2004)
31		Yasunori Ishihara, Shin Ishii, Hiroyuki Seki, Minoru Ito: Temporal Reasoning about Two Concurrent Sequences of Events. SIAM J. Comput. 34(2): 498-513 (2004)
	2003
30		Wako Yoshida, Shin Ishii: A model-based reinforcement learning: a computational model and an fMRI study. ESANN 2003: 313-318
29		Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato: System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. ICANN 2003: 123-131
28		Shigeyuki Oba, Masa-aki Sato, Shin Ishii: Prior Hyperparameters in Bayesian PCA. ICANN 2003: 271-279
27		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. Bioinformatics 19(16): 2088-2096 (2003)
26		Shigeyuki Oba, Masa-aki Sato, Shin Ishii: Variational Bayes method for Mixture of Principal Component Analyzers. Systems and Computers in Japan 34(11): 55-66 (2003)
	2002
25		Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii: Missing Value Estimation Using Mixture of PCAs. ICANN 2002: 492-497
24		Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii: Clustering of Gene Expression Data by Mixture of PCA Models. ICANN 2002: 522-527
23		Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato: Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN 2002: 661-666
22		Masa-aki Sato, Yutaka Nakamura, Shin Ishii: Reinforcement Learning for Biped Locomotion. ICANN 2002: 777-782
21		Shin Ishii, Wako Yoshida, Junichiro Yoshimoto: Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Networks 15(4-6): 665-687 (2002)
20		Shin Ishii, Masa-aki Sato: Doubly constrained network for combinatorial optimization. Neurocomputing 43(1-4): 239-257 (2002)
19		Yoichiro Matsuno, Tatsuya Yamazaki, Jun Matsuda, Shin Ishii: A multiagent reinforcement learning method based on the model inference of the other agents. Systems and Computers in Japan 33(12): 67-76 (2002)
	2001
18		Yoichiro Matsuno, Tatsuya Yamazaki, Shin Ishii: A multi-agent reinforcement learning method for a partially-observable competitive game. Agents 2001: 39-40
17		Ken-ichi Amemori, Shin Ishii: Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model. ICANN 2001: 1087-1094
16		Shigeyuki Oba, Masa-aki Sato, Shin Ishii: On-Line Learning Methods for Gaussian Processes. ICANN 2001: 292-299
15		Ken-ichi Amemori, Shin Ishii: Gaussian Process Approach to Stochastic Spiking Neurons with Reset. ICANN 2001: 361-368
14		Ken-ichi Amemori, Shin Ishii: Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. Neural Computation 13(12): 2763-2797 (2001)
13		Shin Ishii, Masa-aki Sato: Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks 14(9): 1239-1256 (2001)
12		Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato: Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. Systems and Computers in Japan 32(5): 12-20 (2001)
	2000
11		Yasuo Nagayuki, Shin Ishii, Kenji Doya: Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. ICMAS 2000: 215-221
10		Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato: On-Line EM Reinforcement Learning. IJCNN (3) 2000: 163-168
9		Masa-aki Sato, Shin Ishii: On-line EM Algorithm for the Normalized Gaussian Network. Neural Computation 12(2): 407-432 (2000)
8		Shin Ishii, Hirotaka Niitsuma: -Opt Neural Approaches to Quadratic Assignment Problems. Neural Computation 12(9): 2209-2225 (2000)
7		Hirotaka Niitsuma, Shin Ishii, Minoru Ito: Analog lambda-opt approach to quadratic assignment problem. Systems and Computers in Japan 31(10): 1-9 (2000)
	1998
6		Ken-ichi Amemori, Shin Ishii: Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. ICONIP 1998: 1285-1288
5		Masa-aki Sato, Shin Ishii: On-Line EM Algorithm for Mixture of Local Experts. ICONIP 1998: 1397-1401
4		Taku Yoshioka, Shin Ishii, Minoru Ito: Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. ICONIP 1998: 841-844
3		Masa-aki Sato, Shin Ishii: Reinforcement Learning Based on On-Line EM Algorithm. NIPS 1998: 1052-1058
2		Shin Ishii, Masa-aki Sato: Constrained neural approaches to quadratic assignment problems. Neural Networks 11(6): 1073-1082 (1998)
	1997
1		Shin Ishii, Masa-aki Sato: Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks 10(5): 941-963 (1997)

Coauthor Index

1	Ken-ichi Amemori	[6] [14] [15] [17] [32]
2	Kazuhiro Aoki	[70]
3	Akiyo Asahina	[71]
4	Kazuaki Aso	[34]
5	Takashi Bando	[36] [46] [64]
6	Andrzej Cichocki	[70]
7	Justin Dauwels	[70]
8	Kenji Doya	[11] [36] [46]
9	Hajime Fujita	[40] [43] [54] [56]
10	Shuichi Fukunaga	[34]
11	Kohei Hayashi	[77]
12	Yu Hiei	[74]
13	Junichiro Hirayama	[33] [48] [57] [62] [68] [69] [71] [77]
14	Kentarou Hitomi	[45]
15	Koh Hosoda	[52]
16	Yasunobu Igarashi	[49]
17	Mizuki Ihara	[59]
18	Yasunori Ishihara	[31]
19	Minoru Ito	[4] [7] [31]
20	Atsunori Kanemura	[65]
21	Kikuya Kato	[42] [44] [76]
22	Motoaki Kawanabe	[58] [72] [79]
23	Kazuo Kobayashi	[24]
24	Shin-ichi Maeda	[39] [57] [59] [63] [65] [72] [79]
25	Ken-ichi Matsubara	[25] [27]
26	Jun Matsuda	[19] [40]
27	Michiyuki Matsuda	[70]
28	Yoichiro Matsuno	[18] [19] [40]
29	Masaoki Mitsutake	[40]
30	Morito Monden	[25] [27]
31	Takeshi Mori	[35] [37] [41] [55] [66] [72] [73] [74] [78]
32	Ryouko Morioka (Ryoko Morioka)	[24]
33	Klaus-Robert Müller	[58]
34	Yasuo Nagayuki	[11]
35	Takeshi Nakamura	[70]
36	Yutaka Nakamura	[22] [34] [35] [37] [41] [45] [52] [54] [55]
37	Masashi Nakatomi	[62]
38	Hirotaka Niitsuma	[7] [8]
39	Shigeyuki Oba	[16] [24] [25] [26] [27] [28] [42] [44] [51] [53] [58] [76]
40	Naotake Ogasawara	[24]
41	Satoshi Osaga	[68]
42	Yuichi Sakumura	[49] [50] [61] [70]
43	Masa-aki Sato	[1] [2] [3] [5] [9] [10] [12] [13] [16] [20] [22] [23] [25] [26] [27] [28] [29] [37] [55]
44	Hiroyuki Seki	[31]
45	Tomohiro Shibata	[36] [45] [46] [52] [64]
46	Wen-Jie Song	[39]
47	Ichiro Takemasa	[25] [27]
48	Takashi Takenouchi	[60] [62] [67] [68] [75]
49	Takashi Takuma	[52]
50	Yuki Taniguchi	[66] [73]
51	Yuki Tsukada	[61] [70]
52	Tsuyoshi Ueno	[52] [72] [79]
53	François B. Vialatte	[70]
54	Tatsuya Yamazaki	[18] [19] [40]
55	Wako Yoshida	[21] [30] [38] [47]
56	Junichiro Yoshimoto	[10] [12] [21] [23] [29] [33] [48]
57	Taku Yoshioka	[4] [24]
58	Naoto Yukinawa	[42] [76]

Colors in the list of coauthors