A Phenotypic Learning Classifier System for Problems with Continuous Features

Author:

Liu Yi1ORCID,Cui Yu1ORCID,Cheng Wen1ORCID,Browne Will Neil2ORCID,Xue Bing3ORCID,Zhu Chengyuan4ORCID,Zhang Yiding3ORCID,Sheng Mingkai1ORCID,Zeng Lingfang1ORCID

Affiliation:

1. Zhejiang Lab, Hangzhou, China

2. Queensland University of Technology, Queensland, Australia

3. Victoria University of Wellington, Wellington, New Zealand

4. Hainan Normal University, HaiKou, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Ten Thousand Talents Program

National Science and Technology Major Project

Young Scientists Fund of the National Natural Science Foundation of China

Publisher

ACM

Reference31 articles.

1. Lars Buitinck Gilles Louppe Mathieu Blondel Fabian Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler et al. 2013. API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238 (2013).

2. Martin V Butz. 2015. Learning classifier systems. Springer handbook of computational intelligence (2015), 961--981.

3. An algorithmic description of XCS

4. Rong En Fan, Kai Wei Chang, Cho Jui Hsieh, Xiang Rui Wang, and Chih Jen Lin. 2008. LIBLINEAR: A Library for Large Linear Classification. the Journal of machine Learning research 9 (2008), 1871--1874.

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