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Ryohei Nakano Vis

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*2009
58EEYusuke Tanahashi, Ryohei Nakano: Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. ICANN (2) 2009: 155-164
2008
57EEMasayuki Karasuyama, Ryohei Nakano: Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation. IJCNN 2008: 3463-3468
56EEYuta Ishikawa, Ryohei Nakano: EM Algorithm with PIP Initialization and Temperature-Based Selection. KES (3) 2008: 58-66
55EEKazumi Saito, Ryohei Nakano, Masahiro Kimura: Prediction of Information Diffusion Probabilities for Independent Cascade Model. KES (3) 2008: 67-75
54EEMasayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano: Reducing SVR Support Vectors by Using Backward Deletion. KES (3) 2008: 76-83
2007
53 Masahiro Kimura, Kazumi Saito, Ryohei Nakano: Extracting Influential Nodes for Information Diffusion on a Social Network. AAAI 2007: 1371-1376
52EEYuta Ishikawa, Ryohei Nakano: Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. IJCNN 2007: 1115-1120
51EEMasayuki Karasuyama, Ryohei Nakano: Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. IJCNN 2007: 1186-1191
50 Ying Yan, Yusuke Tanahashi, Ryohei Nakano: A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron. IMECS 2007: 53-58
49EEKosuke Inagaki, Ryohei Nakano: Learning Evaluation Functions of Shogi Positions from Different Sets of Games. KES (3) 2007: 210-217
48EEYusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano: Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) 2007: 218-226
47EEKazumi Saito, Ryohei Nakano, Masahiro Kimura: Prediction of Link Attachments by Estimating Probabilities of Information Propagation. KES (3) 2007: 235-242
46EEKazumi Saito, Ryohei Nakano: Bidirectional clustering of weights for neural networks with common weights. Systems and Computers in Japan 38(10): 46-57 (2007)
2006
45EEY. Ishikawa, Ryohei Nakano: Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. IJCNN 2006: 1434-1440
44EEMasayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano: Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN 2006: 319-326
43EEKazumi Saito, Ryohei Nakano: Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. KES (2) 2006: 945-952
42EEYusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano: Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) 2006: 969-976
2005
41EEYusuke Tanahashi, Kazumi Saito, Ryohei Nakano: Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) 2005: 716-722
40EEDaisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano: Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments. KES (4) 2005: 730-737
2004
39EEYusuke Tanahashi, Kazumi Saito, Ryohei Nakano: Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES 2004: 602-608
38EESatoshi Tanimoto, Ryohei Nakano: Learning an Evaluation Function for Shogi from Data of Games. KES 2004: 609-615
2002
37EEKazumi Saito, Ryohei Nakano: Structuring Neural Networks through Bidirectional Clustering of Weights. Discovery Science 2002: 206-219
36EERyohei Nakano, Kazumi Saito: Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. Progress in Discovery Science 2002: 482-493
35EEKazumi Saito, Ryohei Nakano: Extracting regression rules from neural networks. Neural Networks 15(10): 1279-1288 (2002)
2001
34EERyohei Nakano, Kazumi Saito: Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. IDA 2001: 258-267
2000
33EEKazumi Saito, Ryohei Nakano: Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. Discovery Science 2000: 325-329
32 Kazumi Saito, Ryohei Nakano: Discovery of Relevant Weights by Minimizing Cross-Validation Error. PAKDD 2000: 372-375
31 Kazumi Saito, Ryohei Nakano: Second-Order Learning Algorithm with Squared Penalty Term. Neural Computation 12(3): 709-729 (2000)
30 Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. Neural Computation 12(9): 2109-2128 (2000)
29EEKen-ichi Arai, Ryohei Nakano: Stable behavior in a recurrent neural network for a finite state machine. Neural Networks 13(6): 667-680 (2000)
28EEMasahiro Kimura, Ryohei Nakano: Dynamical systems produced by recurrent neural networks. Systems and Computers in Japan 31(4): 77-86 (2000)
27EENaonori Ueda, Ryohei Nakano: EM algorithm with split and merge operations for mixture models. Systems and Computers in Japan 31(5): 1-11 (2000)
26EENaonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. VLSI Signal Processing 26(1-2): 133-140 (2000)
1999
25EERyohei Nakano, Kazumi Saito: Discovery of a Set of Nominally Conditioned Polynomials. Discovery Science 1999: 287-298
1998
24EERyohei Nakano, Kazumi Saito: Computational Characteristics of Law Discovery Using Neural Networks. Discovery Science 1998: 342-351
23EENaonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605
22EETakeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano: Information Operator Scheduling by Genetic Algorithms. SEAL 1998: 50-57
21EENaonori Ueda, Ryohei Nakano: Deterministic annealing EM algorithm. Neural Networks 11(2): 271-282 (1998)
20EEMasahiro Kimura, Ryohei Nakano: Learning dynamical systems by recurrent neural networks from orbits. Neural Networks 11(9): 1589-1599 (1998)
1997
19 Masahiro Kimura, Ryohei Nakano: Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks. ICANN 1997: 403-408
18 Kazumi Saito, Ryohei Nakano: Law Discovery using Neural Networks. IJCAI 1997: 1078-1083
17EEKazumi Saito, Ryohei Nakano: Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. Neural Computation 9(1): 123-141 (1997)
1996
16 Masahiro Kimura, Ryohei Nakano: Learning Dynamical Systems Produced by Recurrent Neural Networks. ICANN 1996: 133-138
15 Ken-ichi Arai, Ryohei Nakano: Annealed RNN Learning of Finite State Automata. ICANN 1996: 519-524
14EEKazumi Saito, Ryohei Nakano: Second-order Learning Algorithm with Squared Penalty Term. NIPS 1996: 627-633
13EETakeshi Yamada, Ryohei Nakano: Scheduling by Genetic Local Search with Multi-Step Crossover. PPSN 1996: 960-969
1995
12 Kazumi Saito, Ryohei Nakano: A Connectionist Approach to Numeric Law Discorvery. Machine Intelligence 15 1995: 315-327
1994
11 Kazumi Saito, Ryohei Nakano: Adaptive Concept Learning Algorithm. IFIP Congress (1) 1994: 294-299
10EENaonori Ueda, Ryohei Nakano: Deterministic Annealing Variant of the EM Algorithm. NIPS 1994: 545-552
9EERyohei Nakano, Yuval Davidor, Takeshi Yamada: Optimal Population Size under Constant Computation Cost. PPSN 1994: 130-138
8EENaonori Ueda, Ryohei Nakano: A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks 7(8): 1211-1227 (1994)
1993
7 Yuval Davidor, Takeshi Yamada, Ryohei Nakano: The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost. ICGA 1993: 171-176
6 Kazumi Saito, Ryohei Nakano: A concept learning algorithm with adaptive search. Machine Intelligence 14 1993: 353-
1992
5 Takeshi Yamada, Ryohei Nakano: A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems. PPSN 1992: 283-292
1991
4 Ryohei Nakano, Takeshi Yamada: Conventional Genetic Algorithm for Job Shop Problems. ICGA 1991: 474-479
1990
3EERyohei Nakano: Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions. ACM Trans. Database Syst. 15(4): 518-557 (1990)
1987
2 Ryohei Nakano, Minoru Kiyama: MACH: Much Faster Associative Machine. IWDM 1987: 339-352
1983
1EERyohei Nakano: Integrity Checking in a Logic-Oriented ER Model. ER 1983: 551-564

Coauthor Index

1Ken-ichi Arai [15] [29]
2Yuval Davidor [7] [9]
3Zoubin Ghahramani [23] [26] [30]
4Geoffrey E. Hinton [23] [26] [30]
5Kosuke Inagaki [49]
6Y. Ishikawa [45]
7Yuta Ishikawa [52] [56]
8Masayuki Karasuyama [44] [51] [54] [57]
9Masahiro Kimura [16] [19] [20] [28] [47] [53] [55]
10Daisuke Kitakoshi [40] [42] [44] [48]
11Minoru Kiyama [2]
12Kazumi Saito [6] [11] [12] [14] [17] [18] [24] [25] [31] [32] [33] [34] [35] [36] [37] [39] [41] [42] [43] [46] [47] [53] [55]
13Hiroyuki Shioya [40]
14Ichiro Takeuchi [54]
15Yusuke Tanahashi [39] [41] [42] [48] [50] [58]
16Satoshi Tanimoto [38]
17Naonori Ueda [8] [10] [21] [23] [26] [27] [30]
18Takeshi Yamada [4] [5] [7] [9] [13] [22]
19Ying Yan [50]
20Kazuyuki Yoshimura [22]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)