Ryohei Nakano - RankMe

100 papers A* 1A 4B 22C 8Journal 19Unranked 46

Year	Rank	Type	Title / Venue / Authors
2019	C	`conf`	Faster RBF Network Learning Utilizing Singular Regions. ICPRAM Seiya Satoh, Ryohei Nakano
2019	C	`conf`	Mixture of Multilayer Perceptron Regressions. ICPRAM Ryohei Nakano, Seiya Satoh
2018	—	`conf`	A New Method for Learning RBF Networks by Utilizing Singular Regions. ICAISC (1) Seiya Satoh, Ryohei Nakano
2017	C	`conf`	How New Information Criteria WAIC and WBIC Worked for MLP Model Selection. ICPRAM Seiya Satoh, Ryohei Nakano
2017	C	`conf`	Performance of Complex-Valued Multilayer Perceptrons Largely Depends on Learning Methods. IJCCI Seiya Satoh, Ryohei Nakano
2016	B	`conf`	How complex-valued multilayer perceptron can predict the behavior of deterministic chaos. IJCNN Seiya Satoh, Ryohei Nakano
2015	—	`conf`	A Yet Faster Version of Complex-valued Multilayer Perceptron Learning using Singular Regions and Search Pruning. IJCCI (NCTA) Seiya Satoh, Ryohei Nakano
2015	B	`conf`	Complex-valued multilayer perceptron learning using singular regions and search pruning. IJCNN Seiya Satoh, Ryohei Nakano
2014	C	`conf`	Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space. ICANN Seiya Satoh, Ryohei Nakano
2014	—	`conf`	Emergent Induction of L-system Grammar from a String with Deletion-type Transmutation. KDIR Ryohei Nakano
2014	—	`conf`	Singularity Stairs Following with Limited Numbers of Hidden Units. IJCCI (NCTA) Seiya Satoh, Ryohei Nakano
2013	—	`conf`	Emergent Induction of Deterministic Context-Free L-system Grammar. IBICA Ryohei Nakano
2013	J	`jnl`	Fast and Stable Learning Utilizing Singular Regions of Multilayer Perceptron. Neural Process. Lett. Seiya Satoh, Ryohei Nakano
2012	—	`conf`	Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping. ICANN (2) Shinya Suzumura, Ryohei Nakano
2011	—	`conf`	Learning Method Utilizing Singular Region of Multilayer Perceptron. IJCCI (NCTA) Ryohei Nakano, Seiya Satoh, Takayuki Ohwaki
2010	J	`jnl`	Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks. Inf. Sci. Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano
2010	J	`jnl`	Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
2010	J	`jnl`	Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method. Neural Networks Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2010	—	`conf`	Nominally Conditioned Linear Regression. ICANN (3) Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito
2010	—	`conf`	Number Theory-based Induction of Deterministic Context-free L-system Grammar. KDIR Ryohei Nakano, Naoya Yamada
2009	—	`conf`	A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. ICONIP (1) Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2009	—	`conf`	Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. ICANN (2) Yusuke Tanahashi, Ryohei Nakano
2009	J	`jnl`	Efficient Leave- New Gener. Comput. Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2009	—	`conf`	Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. ICONIP (1) Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2008	—	`conf`	EM Algorithm with PIP Initialization and Temperature-Based Selection. KES (3) Yuta Ishikawa, Ryohei Nakano
2008	B	`conf`	Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation. IJCNN Masayuki Karasuyama, Ryohei Nakano
2008	—	`conf`	Prediction of Information Diffusion Probabilities for Independent Cascade Model. KES (3) Kazumi Saito, Ryohei Nakano, Masahiro Kimura
2008	—	`conf`	Reducing SVR Support Vectors by Using Backward Deletion. KES (3) Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2007	—	`conf`	A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron. IMECS Ying Yan, Yusuke Tanahashi, Ryohei Nakano
2007	J	`jnl`	Bidirectional clustering of weights for neural networks with common weights. Syst. Comput. Jpn. Kazumi Saito, Ryohei Nakano
2007	A*	`conf`	Extracting Influential Nodes for Information Diffusion on a Social Network. AAAI Masahiro Kimura, Kazumi Saito, Ryohei Nakano
2007	—	`conf`	Learning Evaluation Functions of Shogi Positions from Different Sets of Games. KES (3) Kosuke Inagaki, Ryohei Nakano
2007	—	`conf`	Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano
2007	B	`conf`	Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. IJCNN Yuta Ishikawa, Ryohei Nakano
2007	B	`conf`	Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. IJCNN Masayuki Karasuyama, Ryohei Nakano
2007	—	`conf`	Prediction of Link Attachments by Estimating Probabilities of Information Propagation. KES (3) Kazumi Saito, Ryohei Nakano, Masahiro Kimura
2006	—	`conf`	Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano
2006	—	`conf`	Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. KES (2) Kazumi Saito, Ryohei Nakano
2006	B	`conf`	Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. IJCNN Yuta Ishikawa, Ryohei Nakano
2006	B	`conf`	Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano
2005	—	`conf`	Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments. KES (4) Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano
2005	B	`conf`	Finding a succinct multi-layer perceptron having shared weights. IJCNN Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, Ryohei Nakano
2005	—	`conf`	Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
2005	B	`conf`	Weight sharing on naive Bayes document model. IJCNN Kazumi Saito, Ryohei Nakano
2005	B	`conf`	Yet faster method to optimize SVR hyperparameters based on minimizing cross-validation error. IJCNN Kenji Kobayashi, Daisuke Kitakoshi, Ryohei Nakano
2004	B	`conf`	Extracting characteristic words of text using neural networks. IJCNN Kazumi Saito, Ryohei Nakano
2004	B	`conf`	Learning an Evaluation Function for Shogi from Data of Games. KES Satoshi Tanimoto, Ryohei Nakano
2004	B	`conf`	Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
2004	B	`conf`	Threshold-based multi-thread EM algorithm. IJCNN Tetsuro Kawai, Ryohei Nakano
2003	B	`conf`	Optimizing Support Vector regression hyperparameters based on cross-validation. IJCNN Kentaro Ito, Ryohei Nakano
2003	B	`conf`	Threshold-based dynamic annealing for multi-thread DAEM and its extreme. IJCNN Masaharu Takada, Ryohei Nakano
2002	—	`conf`	Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. Progress in Discovery Science Ryohei Nakano, Kazumi Saito
2002	J	`jnl`	Extracting regression rules from neural networks. Neural Networks Kazumi Saito, Ryohei Nakano
2002	B	`conf`	Structuring Neural Networks through Bidirectional Clustering of Weights. Discovery Science Kazumi Saito, Ryohei Nakano
2001	B	`conf`	Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. IDA Ryohei Nakano, Kazumi Saito
2000	B	`conf`	Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. Discovery Science Kazumi Saito, Ryohei Nakano
2000	B	`conf`	Discovery of Relevant Weights by Minimizing Cross-Validation Error. PAKDD Kazumi Saito, Ryohei Nakano
2000	J	`jnl`	Dynamical systems produced by recurrent neural networks. Syst. Comput. Jpn. Masahiro Kimura, Ryohei Nakano
2000	J	`jnl`	EM algorithm with split and merge operations for mixture models. Syst. Comput. Jpn. Naonori Ueda, Ryohei Nakano
2000	J	`jnl`	SMEM Algorithm for Mixture Models. Neural Comput. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
2000	J	`jnl`	Second-Order Learning Algorithm with Squared Penalty Term. Neural Comput. Kazumi Saito, Ryohei Nakano
2000	J	`jnl`	Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. J. VLSI Signal Process. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
2000	J	`jnl`	Stable behavior in a recurrent neural network for a finite state machine. Neural Networks Ken-ichi Arai, Ryohei Nakano
1999	B	`conf`	Discovery of a Set of Nominally Conditioned Polynomials. Discovery Science Ryohei Nakano, Kazumi Saito
1998	B	`conf`	Computational Characteristics of Law Discovery Using Neural Networks. Discovery Science Ryohei Nakano, Kazumi Saito
1998	J	`jnl`	Deterministic annealing EM algorithm. Neural Networks Naonori Ueda, Ryohei Nakano
1998	—	`conf`	Information Operator Scheduling by Genetic Algorithms. SEAL Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
1998	J	`jnl`	Learning dynamical systems by recurrent neural networks from orbits. Neural Networks Masahiro Kimura, Ryohei Nakano
1998	—	`conf`	SMEM Algorithm for Mixture Models. NIPS Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
1997	—	`conf`	Adaptive β Scheduling Learning Method of Finite State Automata by Recurrent Neural Networks. ICONIP (1) Kenichi Arai, Ryohei Nakano
1997	—	`conf`	Law Discovery using Neural Networks. IJCAI Kazumi Saito, Ryohei Nakano
1997	—	`conf`	MDL regularizer: a new regularizer based on the MDL principle. ICNN Kazumi Saito, Ryohei Nakano
1997	—	`conf`	Numeric Law Discovery Using Neural Networks. ICONIP (2) Kazumi Saito, Ryohei Nakano
1997	J	`jnl`	Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. Neural Comput. Kazumi Saito, Ryohei Nakano
1997	C	`conf`	Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks. ICANN Masahiro Kimura, Ryohei Nakano
1996	—	`conf`	A constructive learning algorithm for an HME. ICNN Kazumi Saito, Ryohei Nakano
1996	C	`conf`	Annealed RNN Learning of Finite State Automata. ICANN Ken-ichi Arai, Ryohei Nakano
1996	—	`conf`	Generalization error of ensemble estimators. ICNN Naonori Ueda, Ryohei Nakano
1996	C	`conf`	Learning Dynamical Systems Produced by Recurrent Neural Networks. ICANN Masahiro Kimura, Ryohei Nakano
1996	A	`conf`	Scheduling by Genetic Local Search with Multi-Step Crossover. PPSN Takeshi Yamada, Ryohei Nakano
1996	—	`conf`	Second-order Learning Algorithm with Squared Penalty Term. NIPS Kazumi Saito, Ryohei Nakano
1995	—	`conf`	A Connectionist Approach to Numeric Law Discorvery. Machine Intelligence 15 Kazumi Saito, Ryohei Nakano
1995	J	`jnl`	Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm. Syst. Comput. Jpn. Naonori Ueda, Ryohei Nakano
1995	—	`conf`	Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap. ICNN Naonori Ueda, Ryohei Nakano
1995	—	`conf`	Hierarchical mixture of experts and Max-Min propagation neural networks. ICNN Pablo A. Estévez, Ryohei Nakano
1995	—	`conf`	Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks. ICNN Masahiro Kimura, Ryohei Nakano
1995	—	`conf`	Parrot-like speaking using optimal vector quantization. ICNN Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada
1994	J	`jnl`	A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks Naonori Ueda, Ryohei Nakano
1994	—	`conf`	Adaptive Concept Learning Algorithm. IFIP Congress (1) Kazumi Saito, Ryohei Nakano
1994	—	`conf`	Deterministic Annealing Variant of the EM Algorithm. NIPS Naonori Ueda, Ryohei Nakano
1994	A	`conf`	Optimal Population Size under Constant Computation Cost. PPSN Ryohei Nakano, Yuval Davidor, Takeshi Yamada
1993	—	`conf`	A competitive and selective learning method for designing optimal vector quantizers. ICNN Naonori Ueda, Ryohei Nakano
1993	—	`conf`	A concept learning algorithm with adaptive search. Machine Intelligence 14 Kazumi Saito, Ryohei Nakano
1993	—	`conf`	The ECOlogical Framework II : Improving GA Performance At Virtually Zero Cost. ICGA Yuval Davidor, Takeshi Yamada, Ryohei Nakano
1992	A	`conf`	A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems. PPSN Takeshi Yamada, Ryohei Nakano
1991	—	`conf`	Conventional Genetic Algorithm for Job Shop Problems. ICGA Ryohei Nakano, Takeshi Yamada
1990	J	`jnl`	Translation with Optimization from Relational Calculus to Relational Algebra Having Aggregate Functions. ACM Trans. Database Syst. Ryohei Nakano
1988	—	`conf`	Medical diagnostic expert system based on PDP model. ICNN Kazumi Saito, Ryohei Nakano
1987	—	`conf`	MACH: Much Faster Associative Machine. IWDM Ryohei Nakano, Minoru Kiyama
1983	A	`conf`	Integrity Checking in a Logic-Oriented ER Model. ER Ryohei Nakano