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 | 2012 | |
|---|---|---|
| c51 |      | Shinya Suzumura, Ryohei Nakano: Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping. ICANN (2) 2012: 1-8 |
| 2011 | ||
| c50 |  | Ryohei Nakano, Seiya Satoh, Takayuki Ohwaki: Learning Method Utilizing Singular Region of Multilayer Perceptron. IJCCI (NCTA) 2011: 106-111 |
| 2010 | ||
| j18 | | Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda: Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. 20(1): 70-97 (2010) |
| j17 | | Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano: Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks. Inf. Sci. 180(15): 2856-2874 (2010) |
| j16 | | Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano: Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method. Neural Networks 23(3): 356-364 (2010) |
| c49 | | Ryohei Nakano, Naoya Yamada: Number Theory-based Induction of Deterministic Context-free L-system Grammar. KDIR 2010: 194-199 |
| c48 | | Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito: Nominally Conditioned Linear Regression. ICANN (3) 2010: 290-293 |
| 2009 | ||
| j15 | | Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano: Efficient Leave-m-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm. New Generation Comput. 27(4): 307-318 (2009) |
| c47 | | Yusuke Tanahashi, Ryohei Nakano: Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. ICANN (2) 2009: 155-164 |
| c46 | | Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano: Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. ICONIP (1) 2009: 159-166 |
| c45 | | Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano: A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. ICONIP (1) 2009: 167-174 |
| 2008 | ||
| c44 | | Masayuki Karasuyama, Ryohei Nakano: Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation. IJCNN 2008: 3463-3468 |
| c43 | | Yuta Ishikawa, Ryohei Nakano: EM Algorithm with PIP Initialization and Temperature-Based Selection. KES (3) 2008: 58-66 |
| c42 | | Kazumi Saito, Ryohei Nakano, Masahiro Kimura: Prediction of Information Diffusion Probabilities for Independent Cascade Model. KES (3) 2008: 67-75 |
| c41 | | Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano: Reducing SVR Support Vectors by Using Backward Deletion. KES (3) 2008: 76-83 |
| 2007 | ||
| j14 | | Kazumi Saito, Ryohei Nakano: Bidirectional clustering of weights for neural networks with common weights. Systems and Computers in Japan 38(10): 46-57 (2007) |
| c40 | | Masahiro Kimura, Kazumi Saito, Ryohei Nakano: Extracting Influential Nodes for Information Diffusion on a Social Network. AAAI 2007: 1371-1376 |
| c39 | | Yuta Ishikawa, Ryohei Nakano: Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. IJCNN 2007: 1115-1120 |
| c38 | | Masayuki Karasuyama, Ryohei Nakano: Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. IJCNN 2007: 1186-1191 |
| c37 | | 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 |
| c36 | | Kosuke Inagaki, Ryohei Nakano: Learning Evaluation Functions of Shogi Positions from Different Sets of Games. KES (3) 2007: 210-217 |
| c35 | | Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano: Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) 2007: 218-226 |
| c34 | | Kazumi Saito, Ryohei Nakano, Masahiro Kimura: Prediction of Link Attachments by Estimating Probabilities of Information Propagation. KES (3) 2007: 235-242 |
| 2006 | ||
| c33 | | Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano: Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN 2006: 319-326 |
| c32 | | Yuta Ishikawa, Ryohei Nakano: Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. IJCNN 2006: 1434-1440 |
| c31 | | Kazumi Saito, Ryohei Nakano: Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. KES (2) 2006: 945-952 |
| c30 | | Yusuke 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 | ||
| c29 | | Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano: Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) 2005: 716-722 |
| c28 | | Daisuke 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 | ||
| c27 | | Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano: Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES 2004: 602-608 |
| c26 | | Satoshi Tanimoto, Ryohei Nakano: Learning an Evaluation Function for Shogi from Data of Games. KES 2004: 609-615 |
| 2002 | ||
| j13 | | Kazumi Saito, Ryohei Nakano: Extracting regression rules from neural networks. Neural Networks 15(10): 1279-1288 (2002) |
| c25 | | Kazumi Saito, Ryohei Nakano: Structuring Neural Networks through Bidirectional Clustering of Weights. Discovery Science 2002: 206-219 |
| c24 | | Ryohei Nakano, Kazumi Saito: Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. Progress in Discovery Science 2002: 482-493 |
| 2001 | ||
| c23 | | Ryohei Nakano, Kazumi Saito: Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. IDA 2001: 258-267 |
| 2000 | ||
| j12 | | Kazumi Saito, Ryohei Nakano: Second-Order Learning Algorithm with Squared Penalty Term. Neural Computation 12(3): 709-729 (2000) |
| j11 | | Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. Neural Computation 12(9): 2109-2128 (2000) |
| j10 | | Ken-ichi Arai, Ryohei Nakano: Stable behavior in a recurrent neural network for a finite state machine. Neural Networks 13(6): 667-680 (2000) |
| j9 | | Masahiro Kimura, Ryohei Nakano: Dynamical systems produced by recurrent neural networks. Systems and Computers in Japan 31(4): 77-86 (2000) |
| j8 | | Naonori Ueda, Ryohei Nakano: EM algorithm with split and merge operations for mixture models. Systems and Computers in Japan 31(5): 1-11 (2000) |
| j7 | | Naonori 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) |
| c22 | | Kazumi Saito, Ryohei Nakano: Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. Discovery Science 2000: 325-329 |
| c21 | | Kazumi Saito, Ryohei Nakano: Discovery of Relevant Weights by Minimizing Cross-Validation Error. PAKDD 2000: 372-375 |
| 1999 | ||
| c20 | | Ryohei Nakano, Kazumi Saito: Discovery of a Set of Nominally Conditioned Polynomials. Discovery Science 1999: 287-298 |
| 1998 | ||
| j6 | | Naonori Ueda, Ryohei Nakano: Deterministic annealing EM algorithm. Neural Networks 11(2): 271-282 (1998) |
| j5 | | Masahiro Kimura, Ryohei Nakano: Learning dynamical systems by recurrent neural networks from orbits. Neural Networks 11(9): 1589-1599 (1998) |
| c19 | | Ryohei Nakano, Kazumi Saito: Computational Characteristics of Law Discovery Using Neural Networks. Discovery Science 1998: 342-351 |
| c18 | | Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605 |
| c17 | | Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano: Information Operator Scheduling by Genetic Algorithms. SEAL 1998: 50-57 |
| 1997 | ||
| j4 | | Kazumi Saito, Ryohei Nakano: Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. Neural Computation 9(1): 123-141 (1997) |
| c16 | | Masahiro Kimura, Ryohei Nakano: Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks. ICANN 1997: 403-408 |
| c15 | | |
| 1996 | ||
| c14 | | Masahiro Kimura, Ryohei Nakano: Learning Dynamical Systems Produced by Recurrent Neural Networks. ICANN 1996: 133-138 |
| c13 | | |
| c12 | | Kazumi Saito, Ryohei Nakano: Second-order Learning Algorithm with Squared Penalty Term. NIPS 1996: 627-633 |
| c11 | | Takeshi Yamada, Ryohei Nakano: Scheduling by Genetic Local Search with Multi-Step Crossover. PPSN 1996: 960-969 |
| 1995 | ||
| j3 | | Naonori Ueda, Ryohei Nakano: Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm. Systems and Computers in Japan 26(9): 34-49 (1995) |
| c10 | | Kazumi Saito, Ryohei Nakano: A Connectionist Approach to Numeric Law Discorvery. Machine Intelligence 15 1995: 315-327 |
| 1994 | ||
| j2 | | Naonori 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) |
| c9 | | |
| c8 | | Naonori Ueda, Ryohei Nakano: Deterministic Annealing Variant of the EM Algorithm. NIPS 1994: 545-552 |
| c7 | | Ryohei Nakano, Yuval Davidor, Takeshi Yamada: Optimal Population Size under Constant Computation Cost. PPSN 1994: 130-138 |
| 1993 | ||
| c6 | | Yuval Davidor, Takeshi Yamada, Ryohei Nakano: The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost. ICGA 1993: 171-176 |
| c5 | | Kazumi Saito, Ryohei Nakano: A concept learning algorithm with adaptive search. Machine Intelligence 14 1993: 353- |
| 1992 | ||
| c4 | | Takeshi Yamada, Ryohei Nakano: A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems. PPSN 1992: 283-292 |
| 1991 | ||
| c3 | | Ryohei Nakano, Takeshi Yamada: Conventional Genetic Algorithm for Job Shop Problems. ICGA 1991: 474-479 |
| 1990 | ||
| j1 | | Ryohei Nakano: Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions. ACM Trans. Database Syst. 15(4): 518-557 (1990) |
| 1987 | ||
| c2 | | |
| 1983 | ||
| c1 | | |
Colors in the list of coauthors
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