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Ryotaro Kamimura
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Publications
- 2020
- [j50]Ryotaro Kamimura, Haruhiko Takeuchi:
Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks. Connect. Sci. 32(2): 174-203 (2020) - 2019
- [j48]Ryotaro Kamimura, Haruhiko Takeuchi:
Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks. Appl. Intell. 49(7): 2522-2545 (2019) - 2018
- [c105]Ryotaro Kamimura, Haruhiko Takeuchi:
Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-layered Neural Networks. IIAI-AAI 2018: 518-523 - [c104]Ryotaro Kamimura, Haruhiko Takeuchi:
Excessive, Selective and Collective Information Processing to Improve and Interpret Multi-layered Neural Networks. IntelliSys (1) 2018: 664-675 - [c101]Ryotaro Kamimura, Haruhiko Takeuchi:
Correlation-Constrained Mutual Information Maximization for Interpretable Multi-Layered Neural Networks. SCIS&ISIS 2018: 123-130 - 2017
- [c98]Ryotaro Kamimura, Haruhiko Takeuchi:
Supervised semi-autoencoder learning for multi-layered neural networks. IFSA-SCIS 2017: 1-8 - 2003
- [c28]Ryotaro Kamimura, Haruhiko Takeuchi:
Generating Explicit Self-Organizing Maps by Information Maximization. IDEAL 2003: 236-245 - 2002
- [j10]Ryotaro Kamimura, Taeko Kamimura, Haruhiko Takeuchi:
Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks. Connect. Sci. 14(2): 137-162 (2002)
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