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Conference and Workshop Papers
- 2024
[c13]Naoya Yatsu, Hiroki Shiraishi
, Hiroyuki Sato, Keiki Takadama:
Prototype Generation with the sUpervised Classifier System on kNN Matching. CEC 2024: 1-8- [c12]Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi:
A Survey on Learning Classifier Systems from 2022 to 2024. GECCO Companion 2024: 1797-1806 - [c11]Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. GECCO Companion 2024: 2127-2130 - [c10]Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata:
A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. PPSN (3) 2024: 386-402 - 2023
- [c9]Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama:
Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. GECCO 2023: 548-557 - [c8]Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO 2023: 606-614 - 2022
- [c7]Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama:
Beta Distribution based XCS Classifier System. CEC 2022: 1-8 - [c6]Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. CEC 2022: 1-8 - [c5]Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama:
Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications 2022: 352-368 - [c4]Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama:
Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO 2022: 422-430 - [c3]Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama:
Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO 2022: 431-439 - 2021
- [c2]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 - [c1]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
Coauthor Index
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