Ryohei Nakano

Publication Activity (10 Years)

Years Active: 1983-2019
Publications (10 Years): 6

Top Topics

Radial Basis Function

Top Venues

Publications

Ryohei Nakano, Seiya Satoh
Mixture of Multilayer Perceptron Regressions. ICPRAM (2019)
Seiya Satoh, Ryohei Nakano
Faster RBF Network Learning Utilizing Singular Regions. ICPRAM (2019)
Seiya Satoh, Ryohei Nakano
A New Method for Learning RBF Networks by Utilizing Singular Regions. ICAISC (1) (2018)
Seiya Satoh, Ryohei Nakano
Performance of Complex-Valued Multilayer Perceptrons Largely Depends on Learning Methods. IJCCI (2017)
Seiya Satoh, Ryohei Nakano
How New Information Criteria WAIC and WBIC Worked for MLP Model Selection. ICPRAM (2017)
Seiya Satoh, Ryohei Nakano
How complex-valued multilayer perceptron can predict the behavior of deterministic chaos. IJCNN (2016)
Seiya Satoh, Ryohei Nakano
Complex-valued multilayer perceptron learning using singular regions and search pruning. IJCNN (2015)
Seiya Satoh, Ryohei Nakano
A Yet Faster Version of Complex-valued Multilayer Perceptron Learning using Singular Regions and Search Pruning. IJCCI (NCTA) (2015)
Ryohei Nakano
Emergent Induction of L-system Grammar from a String with Deletion-type Transmutation. KDIR (2014)
Seiya Satoh, Ryohei Nakano
Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space. ICANN (2014)
Seiya Satoh, Ryohei Nakano
Singularity Stairs Following with Limited Numbers of Hidden Units. IJCCI (NCTA) (2014)
Seiya Satoh, Ryohei Nakano
Fast and Stable Learning Utilizing Singular Regions of Multilayer Perceptron. Neural Process. Lett. 38 (2) (2013)
Ryohei Nakano
Emergent Induction of Deterministic Context-Free L-system Grammar. IBICA (2013)
Shinya Suzumura, Ryohei Nakano
Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping. ICANN (2) (2012)
Ryohei Nakano, Seiya Satoh, Takayuki Ohwaki
Learning Method Utilizing Singular Region of Multilayer Perceptron. IJCCI (NCTA) (2011)
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. 20 (1) (2010)
Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito
Nominally Conditioned Linear Regression. ICANN (3) (2010)
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) (2010)
Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks. Inf. Sci. 180 (15) (2010)
Ryohei Nakano, Naoya Yamada
Number Theory-based Induction of Deterministic Context-free L-system Grammar. KDIR (2010)
Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm. New Gener. Comput. 27 (4) (2009)
Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. ICONIP (1) (2009)
Yusuke Tanahashi, Ryohei Nakano
Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. ICANN (2) (2009)
Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. ICONIP (1) (2009)
Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
Reducing SVR Support Vectors by Using Backward Deletion. KES (3) (2008)
Masayuki Karasuyama, Ryohei Nakano
Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation. IJCNN (2008)
Yuta Ishikawa, Ryohei Nakano
EM Algorithm with PIP Initialization and Temperature-Based Selection. KES (3) (2008)
Kazumi Saito, Ryohei Nakano, Masahiro Kimura
Prediction of Information Diffusion Probabilities for Independent Cascade Model. KES (3) (2008)
Masahiro Kimura, Kazumi Saito, Ryohei Nakano
Extracting Influential Nodes for Information Diffusion on a Social Network. AAAI (2007)
Kazumi Saito, Ryohei Nakano, Masahiro Kimura
Prediction of Link Attachments by Estimating Probabilities of Information Propagation. KES (3) (2007)
Ying Yan, Yusuke Tanahashi, Ryohei Nakano
A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron. IMECS (2007)
Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano
Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) (2007)
Kazumi Saito, Ryohei Nakano
Bidirectional clustering of weights for neural networks with common weights. Systems and Computers in Japan 38 (10) (2007)
Masayuki Karasuyama, Ryohei Nakano
Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. IJCNN (2007)
Yuta Ishikawa, Ryohei Nakano
Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. IJCNN (2007)
Kosuke Inagaki, Ryohei Nakano
Learning Evaluation Functions of Shogi Positions from Different Sets of Games. KES (3) (2007)
Kazumi Saito, Ryohei Nakano
Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. KES (2) (2006)
Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN (2006)
Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano
Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) (2006)
Yuta Ishikawa, Ryohei Nakano
Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. IJCNN (2006)
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)
Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) (2005)
Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES (2004)
Satoshi Tanimoto, Ryohei Nakano
Learning an Evaluation Function for Shogi from Data of Games. KES (2004)
Ryohei Nakano, Kazumi Saito
Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. Progress in Discovery Science (2002)
Kazumi Saito, Ryohei Nakano
Extracting regression rules from neural networks. Neural Networks 15 (10) (2002)
Kazumi Saito, Ryohei Nakano
Structuring Neural Networks through Bidirectional Clustering of Weights. Discovery Science (2002)
Ryohei Nakano, Kazumi Saito
Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. IDA (2001)
Ken-ichi Arai, Ryohei Nakano
Stable behavior in a recurrent neural network for a finite state machine. Neural Networks 13 (6) (2000)
Masahiro Kimura, Ryohei Nakano
Dynamical systems produced by recurrent neural networks. Systems and Computers in Japan 31 (4) (2000)
Kazumi Saito, Ryohei Nakano
Discovery of Relevant Weights by Minimizing Cross-Validation Error. PAKDD (2000)
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
SMEM Algorithm for Mixture Models. Neural Comput. 12 (9) (2000)
Kazumi Saito, Ryohei Nakano
Second-Order Learning Algorithm with Squared Penalty Term. Neural Comput. 12 (3) (2000)
Kazumi Saito, Ryohei Nakano
Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. Discovery Science (2000)
Naonori Ueda, Ryohei Nakano
EM algorithm with split and merge operations for mixture models. Systems and Computers in Japan 31 (5) (2000)
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. J. VLSI Signal Process. 26 (1-2) (2000)
Ryohei Nakano, Kazumi Saito
Discovery of a Set of Nominally Conditioned Polynomials. Discovery Science (1999)
Ryohei Nakano, Kazumi Saito
Computational Characteristics of Law Discovery Using Neural Networks. Discovery Science (1998)
Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
Information Operator Scheduling by Genetic Algorithms. SEAL (1998)
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
SMEM Algorithm for Mixture Models. NIPS (1998)
Masahiro Kimura, Ryohei Nakano
Learning dynamical systems by recurrent neural networks from orbits. Neural Networks 11 (9) (1998)
Naonori Ueda, Ryohei Nakano
Deterministic annealing EM algorithm. Neural Networks 11 (2) (1998)
Masahiro Kimura, Ryohei Nakano
Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks. ICANN (1997)
Kazumi Saito, Ryohei Nakano
Law Discovery using Neural Networks. IJCAI (1997)
Kazumi Saito, Ryohei Nakano
MDL regularizer: a new regularizer based on the MDL principle. ICNN (1997)
Kazumi Saito, Ryohei Nakano
Numeric Law Discovery Using Neural Networks. ICONIP (2) (1997)
Kazumi Saito, Ryohei Nakano
Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. Neural Comput. 9 (1) (1997)
Kenichi Arai, Ryohei Nakano
Adaptive β Scheduling Learning Method of Finite State Automata by Recurrent Neural Networks. ICONIP (1) (1997)
Masahiro Kimura, Ryohei Nakano
Learning Dynamical Systems Produced by Recurrent Neural Networks. ICANN (1996)
Kazumi Saito, Ryohei Nakano
Second-order Learning Algorithm with Squared Penalty Term. NIPS (1996)
Kazumi Saito, Ryohei Nakano
A constructive learning algorithm for an HME. ICNN (1996)
Naonori Ueda, Ryohei Nakano
Generalization error of ensemble estimators. ICNN (1996)
Takeshi Yamada, Ryohei Nakano
Scheduling by Genetic Local Search with Multi-Step Crossover. PPSN (1996)
Ken-ichi Arai, Ryohei Nakano
Annealed RNN Learning of Finite State Automata. ICANN (1996)
Pablo A. Estévez, Ryohei Nakano
Hierarchical mixture of experts and Max-Min propagation neural networks. ICNN (1995)
Naonori Ueda, Ryohei Nakano
Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap. ICNN (1995)
Kazumi Saito, Ryohei Nakano
A Connectionist Approach to Numeric Law Discorvery. Machine Intelligence 15 (1995)
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) (1995)
Masahiro Kimura, Ryohei Nakano
Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks. ICNN (1995)
Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada
Parrot-like speaking using optimal vector quantization. ICNN (1995)
Naonori Ueda, Ryohei Nakano
Deterministic Annealing Variant of the EM Algorithm. NIPS (1994)
Kazumi Saito, Ryohei Nakano
Adaptive Concept Learning Algorithm. IFIP Congress (1) (1994)
Naonori Ueda, Ryohei Nakano
A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks 7 (8) (1994)
Ryohei Nakano, Yuval Davidor, Takeshi Yamada
Optimal Population Size under Constant Computation Cost. PPSN (1994)
Naonori Ueda, Ryohei Nakano
A competitive and selective learning method for designing optimal vector quantizers. ICNN (1993)
Yuval Davidor, Takeshi Yamada, Ryohei Nakano
The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost. ICGA (1993)
Kazumi Saito, Ryohei Nakano
A concept learning algorithm with adaptive search. Machine Intelligence 14 (1993)
Takeshi Yamada, Ryohei Nakano
A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems. PPSN (1992)
Ryohei Nakano, Takeshi Yamada
Conventional Genetic Algorithm for Job Shop Problems. ICGA (1991)
Ryohei Nakano
Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions. ACM Trans. Database Syst. 15 (4) (1990)
Kazumi Saito, Ryohei Nakano
Medical diagnostic expert system based on PDP model. ICNN (1988)
Ryohei Nakano, Minoru Kiyama
MACH: Much Faster Associative Machine. IWDM (1987)
Ryohei Nakano
Integrity Checking in a Logic-Oriented ER Model. ER (1983)