Beta Distribution based XCS Classifier System
Author:
Affiliation:
1. The University of Electro-Communications,Tokyo,Japan,182-8585
2. The State University of New York at Binghamton,New York,USA,13902
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870314.pdf?arnumber=9870314
Reference16 articles.
1. Optimality-Based Analysis of XCSF Compaction in Discrete Reinforcement Learning
2. Can the same rule representation change its matching area? enhancing representation in XCS for continuous space by probability distribution in multiple di-mension;shiraishi;Proceedings of the Genetic and Evolutionary Computation Conference,0
3. Mechanisms to Alleviate Over-Generalization in XCS for Continuous-Valued Input Spaces
4. What about interpolation? a radial basis function approach to classifier prediction modeling in XCSF;stein;Proceedings of the Genetic and Evolutionary Computation Conference,0
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1. Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12
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