サトウ セイヤ
SATOH Seiya
佐藤 聖也
所属
東京電機大学 理工学部 理工学科 情報システムデザイン学系
東京電機大学大学院 理工学研究科 情報学専攻
職種
助教（任期付）
著書・論文歴
1.
論文
A quasi-Newton method for a Mean Variance Estimation network IEICE Transactions on Information and Systems E108-D (8) (単著) 2025/08
2.
論文
Stable learning algorithm using reducibility for recurrent neural networks In Proc. 32th International Conf. on Artificial Neural Networks (ICANN) 14259,127-139頁 (単著) 2023/09
3.
著書
Comparing feedforward neural networks using independent component analysis on hidden units PLOS ONE 18 (8) (共著) 2023/08/24
4.
論文
Bypassing combinatorial explosions in equivalence structure extraction Knowledge and Information Systems,1-24頁 (共著) 2021/08/13
5.
論文
Faster RBF network learning utilizing singular regions In Proc. 8th International Conf. on Pattern Recognition Applications and Methods (ICPRAM),501-508頁 (共著) 2019/02
6.
論文
Mixture of multilayer perceptron regressions In Proc. 8th International Conf. on Pattern Recognition Applications and Methods (ICPRAM),509-516頁 (共著) 2019/02
7.
論文
Accelerated equivalence structure extraction via pairwise incremental search In Proc. 24th ACM SIGKDD International Conf. on Knowledge Discovery and Data Mining,2160-2169頁 (共著) 2018/08
8.
論文
A new method for learning RBF networks by utilizing singular regions In Proc. 17th International Conference on Artificial Intelligence and Soft Computing (ICAISC),214-225頁 (共著) 2018/06
9.
論文
Weak dependence on initialization in mixture of linear regressions In Proc. IAENG International Conf. on Artificial Intelligence and Applications (ICAIA),1-6頁 (共著) 2018/03
10.
論文
Validation of equivalence structure incremental search Frontiers in Robotics and AI 4 (2) (共著) 2017/12
11.
論文
Performance of complex-valued multilayer perceptrons largely depends on learning methods In Proc. 9th International Joint Conference on Computational Intelligence (IJCCI),45-53頁 (共著) 2017/11
12.
論文
複素多層パーセプトロンの性能と学習法の関係に関する実験評価 電子情報通信学会 論文誌 J100-D (6),649-660頁 (共著) 2017/06
13.
論文
Incremental extraction of high-dimensional equivalence structures In The 2017 International Joint Conference on Neural Networks (IJCNN 2017),1518-1524頁 (共著) 2017/05
14.
論文
How new information criteria WAIC and WBIC worked for MLP model selection In Proc. 6th International Conf. on Pattern Recognition Applications and Methods (ICPRAM),105-111頁 (共著) 2017/02
15.
論文
How complex-valued multilayer perceptron can predict the behavior of deterministic chaos In Proc. International Joint Conf. on Neural Networks (IJCNN),4118-4124頁 (共著) 2016/07
16.
論文
A yet faster version of complex-valued multilayer perceptron learning using singular regions and search pruning In Proc. 7th International Conf. on Neural Computation Theory and Applications (NCTA),122-129頁 (共著) 2015/11
17.
論文
Complex-valued multilayer perceptron learning using singular regions and search pruning In Proc. International Joint Conf. on Neural Networks (IJCNN),1-6頁 (共著) 2015/07
18.
論文
Singularity stairs following with limited numbers of hidden units In Proc. 6th International Conf. on Neural Computation Theory and Applications (NCTA),180-186頁 (共著) 2014/10
19.
論文
Complex-valued multilayer perceptron search utilizing singular regions of complex-valued parameter space In Proc. 24th International Conf. on Artificial Neural Networks (ICANN) 8681,315-322頁 (共著) 2014/09
20.
論文
特異領域を利用した多層パーセプトロン探索法の探索枝刈り 電子情報通信学会 論文誌 J97-D (2),330-340頁 (共著) 2014/02
21.
論文
Mutlilayer perceptron learning utilizing singular regions and search pruning In Proc. International Conf. on Machine Learning and Data Analysis (ICMLDA),790-795頁 (共著) 2013/10
22.
論文
Fast and stable learning utilizing singular regions of multilayer perceptron Neural Processing Letters 38 (2),99-115頁 (共著) 2013/02
23.
論文
Multilayer perceptron learning utilizing reducibility mapping Studies in Computational Intelligence 465,261-275頁 (共著) 2012/12
24.
論文
Eigen vector descent and line search for multilayer perceptron In Proc. IAENG International Conf. on Artificial Intelligence and Applications (ICAIA) 1,1-6頁 (共著) 2012/03
25.
論文
Learning method utilizing singular region of multilayer perceptron In Proc. 3rd International Conf. on Neural Computation Theory and Applications (NCTA),106-111頁 (共著) 2011/10
