Seiya Satoh

According to our database, Seiya Satoh authored at least 17 papers between 2011 and 2023.

Collaborative distances:

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

2023

Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks.

Seiya Satoh

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2021

Bypassing combinatorial explosions in equivalence structure extraction.

Seiya Satoh, Hiroshi Yamakawa

Knowl. Inf. Syst., 2021

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

Accelerated Equivalence Structure Extraction via Pairwise Incremental Search.

Seiya Satoh, Yoshinobu Takahashi, Hiroshi Yamakawa

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

Validation of Equivalence Structure Incremental Search.

Seiya Satoh, Yoshinobu Takahashi, Hiroshi Yamakawa

Frontiers Robotics AI, 2017

Incremental extraction of high-dimensional equivalence structures.

Seiya Satoh, Hiroshi Yamakawa

Proceedings of the 2017 International Joint Conference on Neural Networks, 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

2013

Fast and Stable Learning Utilizing Singular Regions of Multilayer Perceptron.

Seiya Satoh, Ryohei Nakano

Neural Process. Lett., 2013

2011

Learning Method Utilizing Singular Region of Multilayer Perceptron.

Ryohei Nakano, Seiya Satoh, Takayuki Ohwaki

Proceedings of the NCTA 2011, 2011