Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama. Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. In IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021. pages 311-318, IEEE, 2021. [doi]
@inproceedings{ShiraishiTHFST21-0,
title = {Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System},
author = {Hiroki Shiraishi and Masakazu Tadokoro and Yohei Hayamizu and Yukiko Fukumoto and Hiroyuki Sato and Keiki Takadama},
year = {2021},
doi = {10.1109/CEC45853.2021.9504733},
url = {https://doi.org/10.1109/CEC45853.2021.9504733},
researchr = {https://researchr.org/publication/ShiraishiTHFST21-0},
cites = {0},
citedby = {0},
pages = {311-318},
booktitle = {IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021},
publisher = {IEEE},
isbn = {978-1-7281-8393-0},
}