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## Search the dblp DataBase
Ryohei Nakano:
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## Publications of Author- Ryohei Nakano
**Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions.**[Citation Graph (6, 18)][DBLP] ACM Trans. Database Syst., 1990, v:15, n:4, pp:518-557 [Journal] - Ryohei Nakano
**Integrity Checking in a Logic-Oriented ER Model.**[Citation Graph (2, 13)][DBLP] ER, 1983, pp:551-564 [Conf] - Ryohei Nakano, Minoru Kiyama
**MACH: Much Faster Associative Machine.**[Citation Graph (2, 0)][DBLP] IWDM, 1987, pp:339-352 [Conf] - Ryohei Nakano, Kazumi Saito
**Computational Characteristics of Law Discovery Using Neural Networks.**[Citation Graph (0, 0)][DBLP] Discovery Science, 1998, pp:342-351 [Conf] - Ryohei Nakano, Kazumi Saito
**Discovery of a Set of Nominally Conditioned Polynomials.**[Citation Graph (0, 0)][DBLP] Discovery Science, 1999, pp:287-298 [Conf] - Kazumi Saito, Ryohei Nakano
**Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees.**[Citation Graph (0, 0)][DBLP] Discovery Science, 2000, pp:325-329 [Conf] - Kazumi Saito, Ryohei Nakano
**Structuring Neural Networks through Bidirectional Clustering of Weights.**[Citation Graph (0, 0)][DBLP] Discovery Science, 2002, pp:206-219 [Conf] - Ryohei Nakano, Kazumi Saito
**Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.**[Citation Graph (0, 0)][DBLP] Progress in Discovery Science, 2002, pp:482-493 [Conf] - Ken-ichi Arai, Ryohei Nakano
**Annealed RNN Learning of Finite State Automata.**[Citation Graph (0, 0)][DBLP] ICANN, 1996, pp:519-524 [Conf] - Masahiro Kimura, Ryohei Nakano
**Learning Dynamical Systems Produced by Recurrent Neural Networks.**[Citation Graph (0, 0)][DBLP] ICANN, 1996, pp:133-138 [Conf] - Masahiro Kimura, Ryohei Nakano
**Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks.**[Citation Graph (0, 0)][DBLP] ICANN, 1997, pp:403-408 [Conf] - Yuval Davidor, Takeshi Yamada, Ryohei Nakano
**The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost.**[Citation Graph (0, 0)][DBLP] ICGA, 1993, pp:171-176 [Conf] - Ryohei Nakano, Takeshi Yamada
**Conventional Genetic Algorithm for Job Shop Problems.**[Citation Graph (0, 0)][DBLP] ICGA, 1991, pp:474-479 [Conf] - Ryohei Nakano, Kazumi Saito
**Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.**[Citation Graph (0, 0)][DBLP] IDA, 2001, pp:258-267 [Conf] - Kazumi Saito, Ryohei Nakano
**Adaptive Concept Learning Algorithm.**[Citation Graph (0, 0)][DBLP] IFIP Congress (1), 1994, pp:294-299 [Conf] - Kazumi Saito, Ryohei Nakano
**Law Discovery using Neural Networks.**[Citation Graph (0, 0)][DBLP] IJCAI, 1997, pp:1078-1083 [Conf] - Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano
**Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments.**[Citation Graph (0, 0)][DBLP] KES (4), 2005, pp:730-737 [Conf] - Kazumi Saito, Ryohei Nakano
**Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach.**[Citation Graph (0, 0)][DBLP] KES (2), 2006, pp:945-952 [Conf] - Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano
**Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights.**[Citation Graph (0, 0)][DBLP] KES (2), 2006, pp:969-976 [Conf] - Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
**Piecewise Multivariate Polynomials Using a Four-Layer Perceptron.**[Citation Graph (0, 0)][DBLP] KES, 2004, pp:602-608 [Conf] - Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
**Model Selection and Weight Sharing of Multi-layer Perceptrons.**[Citation Graph (0, 0)][DBLP] KES (4), 2005, pp:716-722 [Conf] - Satoshi Tanimoto, Ryohei Nakano
**Learning an Evaluation Function for Shogi from Data of Games.**[Citation Graph (0, 0)][DBLP] KES, 2004, pp:609-615 [Conf] - Kazumi Saito, Ryohei Nakano
**A concept learning algorithm with adaptive search.**[Citation Graph (0, 0)][DBLP] Machine Intelligence 14, 1993, pp:353-0 [Conf] - Kazumi Saito, Ryohei Nakano
**A Connectionist Approach to Numeric Law Discorvery.**[Citation Graph (0, 0)][DBLP] Machine Intelligence 15, 1995, pp:315-327 [Conf] - Kazumi Saito, Ryohei Nakano
**Second-order Learning Algorithm with Squared Penalty Term.**[Citation Graph (0, 0)][DBLP] NIPS, 1996, pp:627-633 [Conf] - Naonori Ueda, Ryohei Nakano
**Deterministic Annealing Variant of the EM Algorithm.**[Citation Graph (0, 0)][DBLP] NIPS, 1994, pp:545-552 [Conf] - Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
**SMEM Algorithm for Mixture Models.**[Citation Graph (0, 0)][DBLP] NIPS, 1998, pp:599-605 [Conf] - Kazumi Saito, Ryohei Nakano
**Discovery of Relevant Weights by Minimizing Cross-Validation Error.**[Citation Graph (0, 0)][DBLP] PAKDD, 2000, pp:372-375 [Conf] - Ryohei Nakano, Yuval Davidor, Takeshi Yamada
**Optimal Population Size under Constant Computation Cost.**[Citation Graph (0, 0)][DBLP] PPSN, 1994, pp:130-138 [Conf] - Takeshi Yamada, Ryohei Nakano
**A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems.**[Citation Graph (0, 0)][DBLP] PPSN, 1992, pp:283-292 [Conf] - Takeshi Yamada, Ryohei Nakano
**Scheduling by Genetic Local Search with Multi-Step Crossover.**[Citation Graph (0, 0)][DBLP] PPSN, 1996, pp:960-969 [Conf] - Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
**Information Operator Scheduling by Genetic Algorithms.**[Citation Graph (0, 0)][DBLP] SEAL, 1998, pp:50-57 [Conf] - Kazumi Saito, Ryohei Nakano
**Second-Order Learning Algorithm with Squared Penalty Term.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:3, pp:709-729 [Journal] - Kazumi Saito, Ryohei Nakano
**Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks.**[Citation Graph (0, 0)][DBLP] Neural Computation, 1997, v:9, n:1, pp:123-141 [Journal] - Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
**SMEM Algorithm for Mixture Models.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:9, pp:2109-2128 [Journal] - Ken-ichi Arai, Ryohei Nakano
**Stable behavior in a recurrent neural network for a finite state machine.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2000, v:13, n:6, pp:667-680 [Journal] - Masahiro Kimura, Ryohei Nakano
**Learning dynamical systems by recurrent neural networks from orbits.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1998, v:11, n:9, pp:1589-1599 [Journal] - Kazumi Saito, Ryohei Nakano
**Extracting regression rules from neural networks.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2002, v:15, n:10, pp:1279-1288 [Journal] - Naonori Ueda, Ryohei Nakano
**A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1994, v:7, n:8, pp:1211-1227 [Journal] - Naonori Ueda, Ryohei Nakano
**Deterministic annealing EM algorithm.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1998, v:11, n:2, pp:271-282 [Journal] - Masahiro Kimura, Ryohei Nakano
**Dynamical systems produced by recurrent neural networks.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2000, v:31, n:4, pp:77-86 [Journal] - Naonori Ueda, Ryohei Nakano
**EM algorithm with split and merge operations for mixture models.**[Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 2000, v:31, n:5, pp:1-11 [Journal] - Masahiro Kimura, Kazumi Saito, Ryohei Nakano
**Extracting Influential Nodes for Information Diffusion on a Social Network.**[Citation Graph (0, 0)][DBLP] AAAI, 2007, pp:1371-1376 [Conf] - Kosuke Inagaki, Ryohei Nakano
**Learning Evaluation Functions of Shogi Positions from Different Sets of Games.**[Citation Graph (0, 0)][DBLP] KES (3), 2007, pp:210-217 [Conf] - Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano
**Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron.**[Citation Graph (0, 0)][DBLP] KES (3), 2007, pp:218-226 [Conf] - Kazumi Saito, Ryohei Nakano, Masahiro Kimura
**Prediction of Link Attachments by Estimating Probabilities of Information Propagation.**[Citation Graph (0, 0)][DBLP] KES (3), 2007, pp:235-242 [Conf] **Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials.**[Citation Graph (, )][DBLP]**Nominally Conditioned Linear Regression.**[Citation Graph (, )][DBLP]**A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution.**[Citation Graph (, )][DBLP]**Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.**[Citation Graph (, )][DBLP]**Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy.**[Citation Graph (, )][DBLP]**Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR.**[Citation Graph (, )][DBLP]**Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error.**[Citation Graph (, )][DBLP]**Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm.**[Citation Graph (, )][DBLP]**Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation.**[Citation Graph (, )][DBLP]**A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron.**[Citation Graph (, )][DBLP]**Reducing SVR Support Vectors by Using Backward Deletion.**[Citation Graph (, )][DBLP]**Prediction of Information Diffusion Probabilities for Independent Cascade Model.**[Citation Graph (, )][DBLP]**EM Algorithm with PIP Initialization and Temperature-Based Selection.**[Citation Graph (, )][DBLP]**Extracting influential nodes on a social network for information diffusion.**[Citation Graph (, )][DBLP]
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