Ryohei Nakano

According to our database, Ryohei Nakano authored at least 91 papers between 1983 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Faster RBF Network Learning Utilizing Singular Regions.

Seiya Satoh, Ryohei Nakano

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Mixture of Multilayer Perceptron Regressions.

Ryohei Nakano, Seiya Satoh

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

A New Method for Learning RBF Networks by Utilizing Singular Regions.

Seiya Satoh, Ryohei Nakano

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Performance of Complex-Valued Multilayer Perceptrons Largely Depends on Learning Methods.

Seiya Satoh, Ryohei Nakano

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

How New Information Criteria WAIC and WBIC Worked for MLP Model Selection.

Seiya Satoh, Ryohei Nakano

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016

How complex-valued multilayer perceptron can predict the behavior of deterministic chaos.

Seiya Satoh, Ryohei Nakano

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Complex-valued multilayer perceptron learning using singular regions and search pruning.

Seiya Satoh, Ryohei Nakano

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Yet Faster Version of Complex-valued Multilayer Perceptron Learning using Singular Regions and Search Pruning.

Seiya Satoh, Ryohei Nakano

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014

Singularity Stairs Following with Limited Numbers of Hidden Units.

Seiya Satoh, Ryohei Nakano

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space.

Seiya Satoh, Ryohei Nakano

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Emergent Induction of L-system Grammar from a String with Deletion-type Transmutation.

Ryohei Nakano

Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2013

Fast and Stable Learning Utilizing Singular Regions of Multilayer Perceptron.

Seiya Satoh, Ryohei Nakano

Neural Process. Lett., 2013

Emergent Induction of Deterministic Context-Free L-system Grammar.

Ryohei Nakano

Proceedings of the Innovations in Bio-inspired Computing and Applications, 2013

2012

Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping.

Shinya Suzumura, Ryohei Nakano

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Learning Method Utilizing Singular Region of Multilayer Perceptron.

Ryohei Nakano, Seiya Satoh, Takayuki Ohwaki

Proceedings of the NCTA 2011, 2011

2010

Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method.

Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano

Neural Networks, 2010

Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks.

Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano

Inf. Sci., 2010

Extracting influential nodes on a social network for information diffusion.

Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda

Data Min. Knowl. Discov., 2010

Nominally Conditioned Linear Regression.

Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Number Theory-based Induction of Deterministic Context-free L-system Grammar.

Ryohei Nakano, Naoya Yamada

Proceedings of the KDIR 2010, 2010

2009

Efficient Leave-<i>m</i>-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm.

Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano

New Gener. Comput., 2009

Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.

Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano

Proceedings of the Neural Information Processing, 16th International Conference, 2009

A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution.

Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials.

Yusuke Tanahashi, Ryohei Nakano

Proceedings of the Artificial Neural Networks, 2009

2008

Prediction of Information Diffusion Probabilities for Independent Cascade Model.

Kazumi Saito, Ryohei Nakano, Masahiro Kimura

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Reducing SVR Support Vectors by Using Backward Deletion.

Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

EM Algorithm with PIP Initialization and Temperature-Based Selection.

Yuta Ishikawa, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation.

Masayuki Karasuyama, Ryohei Nakano

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Bidirectional clustering of weights for neural networks with common weights.

Kazumi Saito, Ryohei Nakano

Syst. Comput. Jpn., 2007

Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron.

Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Prediction of Link Attachments by Estimating Probabilities of Information Propagation.

Kazumi Saito, Ryohei Nakano, Masahiro Kimura

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Learning Evaluation Functions of Shogi Positions from Different Sets of Games.

Kosuke Inagaki, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron.

Ying Yan, Yusuke Tanahashi, Ryohei Nakano

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR.

Masayuki Karasuyama, Ryohei Nakano

Proceedings of the International Joint Conference on Neural Networks, 2007

Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy.

Yuta Ishikawa, Ryohei Nakano

Proceedings of the International Joint Conference on Neural Networks, 2007

Extracting Influential Nodes for Information Diffusion on a Social Network.

Masahiro Kimura, Kazumi Saito, Ryohei Nakano

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights.

Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach.

Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error.

Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano

Proceedings of the International Joint Conference on Neural Networks, 2006

Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm.

Yuta Ishikawa, Ryohei Nakano

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Model Selection and Weight Sharing of Multi-layer Perceptrons.

Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments.

Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

Learning an Evaluation Function for Shogi from Data of Games.

Satoshi Tanimoto, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Piecewise Multivariate Polynomials Using a Four-Layer Perceptron.

Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2002

Extracting regression rules from neural networks.

Kazumi Saito, Ryohei Nakano

Neural Networks, 2002

Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.

Ryohei Nakano, Kazumi Saito

Proceedings of the Progress in Discovery Science, 2002

Structuring Neural Networks through Bidirectional Clustering of Weights.

Kazumi Saito, Ryohei Nakano

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.

Ryohei Nakano, Kazumi Saito

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

2000

Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.

Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

J. VLSI Signal Process., 2000

EM algorithm with split and merge operations for mixture models.

Naonori Ueda, Ryohei Nakano

Syst. Comput. Jpn., 2000

Dynamical systems produced by recurrent neural networks.

Masahiro Kimura, Ryohei Nakano

Syst. Comput. Jpn., 2000

Stable behavior in a recurrent neural network for a finite state machine.

Ken-ichi Arai, Ryohei Nakano

Neural Networks, 2000

SMEM Algorithm for Mixture Models.

Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

Neural Comput., 2000

Second-Order Learning Algorithm with Squared Penalty Term.

Kazumi Saito, Ryohei Nakano

Neural Comput., 2000

Discovery of Relevant Weights by Minimizing Cross-Validation Error.

Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge Discovery and Data Mining, 2000

Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees.

Kazumi Saito, Ryohei Nakano

Proceedings of the Discovery Science, 2000

1999

Discovery of a Set of Nominally Conditioned Polynomials.

Ryohei Nakano, Kazumi Saito

Proceedings of the Discovery Science, 1999

1998

Deterministic annealing EM algorithm.

Naonori Ueda, Ryohei Nakano

Neural Networks, 1998

Learning dynamical systems by recurrent neural networks from orbits.

Masahiro Kimura, Ryohei Nakano

Neural Networks, 1998

Information Operator Scheduling by Genetic Algorithms.

Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano

Proceedings of the Simulated Evolution and Learning, 1998

Computational Characteristics of Law Discovery Using Neural Networks.

Ryohei Nakano, Kazumi Saito

Proceedings of the Discovery Science, 1998

1997

Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks.

Kazumi Saito, Ryohei Nakano

Neural Comput., 1997

Law Discovery using Neural Networks.

Kazumi Saito, Ryohei Nakano

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Numeric Law Discovery Using Neural Networks.

Kazumi Saito, Ryohei Nakano

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Adaptive β Scheduling Learning Method of Finite State Automata by Recurrent Neural Networks.

Kenichi Arai, Ryohei Nakano

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

MDL regularizer: a new regularizer based on the MDL principle.

Kazumi Saito, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks.

Masahiro Kimura, Ryohei Nakano

Proceedings of the Artificial Neural Networks, 1997

1996

Scheduling by Genetic Local Search with Multi-Step Crossover.

Takeshi Yamada, Ryohei Nakano

Proceedings of the Parallel Problem Solving from Nature, 1996

Generalization error of ensemble estimators.

Naonori Ueda, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A constructive learning algorithm for an HME.

Kazumi Saito, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Learning Dynamical Systems Produced by Recurrent Neural Networks.

Masahiro Kimura, Ryohei Nakano

Proceedings of the Artificial Neural Networks, 1996

Annealed RNN Learning of Finite State Automata.

Ken-ichi Arai, Ryohei Nakano

Proceedings of the Artificial Neural Networks, 1996

1995

Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm.

Naonori Ueda, Ryohei Nakano

Syst. Comput. Jpn., 1995

A Connectionist Approach to Numeric Law Discorvery.

Kazumi Saito, Ryohei Nakano

Proceedings of the Machine Intelligence 15, 1995

Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap.

Naonori Ueda, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Parrot-like speaking using optimal vector quantization.

Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks.

Masahiro Kimura, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Hierarchical mixture of experts and Max-Min propagation neural networks.

Pablo A. Estévez, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers.

Naonori Ueda, Ryohei Nakano

Neural Networks, 1994

Optimal Population Size under Constant Computation Cost.

Ryohei Nakano, Yuval Davidor, Takeshi Yamada

Proceedings of the Parallel Problem Solving from Nature, 1994

Deterministic Annealing Variant of the EM Algorithm.

Naonori Ueda, Ryohei Nakano

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Adaptive Concept Learning Algorithm.

Kazumi Saito, Ryohei Nakano

Proceedings of the Technology and Foundations - Information Processing '94, Volume 1, Proceedings of the IFIP 13th World Computer Congress, Hamburg, Germany, 28 August, 1994

1993

A concept learning algorithm with adaptive search.

Kazumi Saito, Ryohei Nakano

Proceedings of the Machine Intelligence 14, 1993

A competitive and selective learning method for designing optimal vector quantizers.

Naonori Ueda, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost.

Yuval Davidor, Takeshi Yamada, Ryohei Nakano

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992

A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems.

Takeshi Yamada, Ryohei Nakano

Proceedings of the Parallel Problem Solving from Nature 2, 1992

1991

Conventional Genetic Algorithm for Job Shop Problems.

Ryohei Nakano, Takeshi Yamada

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990

Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions.

Ryohei Nakano

ACM Trans. Database Syst., 1990

1988

Medical diagnostic expert system based on PDP model.

Kazumi Saito, Ryohei Nakano

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1987

MACH: Much Faster Associative Machine.

Ryohei Nakano, Minoru Kiyama

Proceedings of the Database Machines and Knowledge Base Machines, 1987

1983

Integrity Checking in a Logic-Oriented ER Model.

Ryohei Nakano

Proceedings of the 3rd Int. Conf. on Entity-Relationship Approach (ER'83), 1983