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ORCIDMasakazu Tadokoro
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2020 – today
- 2021
[c6]Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama:
XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. CEC 2021: 304-310- [c5]Hiroki Shiraishi
, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama:
Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC 2021: 311-318 - [c4]Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama:
Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion 2021: 169-170 - 2020
- [c3]Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama:
Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. CEC 2020: 1-8 - [c2]Yukiko Fukumoto, Masakazu Tadokoro, Keiki Takadama:
Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives. SSCI 2020: 2202-2209
2010 – 2019
- 2019
- [c1]Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama:
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. CEC 2019: 1883-1890
Coauthor Index
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