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Variance-based Learning Classifier System without Convergence of Reward Estimation.

, , , , , and . GECCO (Companion), page 67-68. ACM, (2016)

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Extracting both generalized and specialized knowledge by XCS using Attribute Tracking and Feedback., and . CEC, page 3034-3041. IEEE, (2015)How XCS can prevent misdistinguishing rule accuracy: a preliminary study., and . GECCO (Companion), page 183-184. ACM, (2019)Theoretical XCS parameter settings of learning accurate classifiers., , , and . GECCO, page 473-480. ACM, (2017)Oversampling-Guided Search for Evolutionary Multiobjective Optimization., , and . CEC, page 1-8. IEEE, (2024)Self-adaptation of XCS learning parameters based on learning theory., and . GECCO, page 342-349. ACM, (2020)Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology., , , , , and . SMC, page 1964-1969. IEEE, (2018)Selection strategy for XCS with adaptive action mapping., , and . GECCO, page 1085-1092. ACM, (2013)Convergence analysis of rule-generality on the XCS classifier system., , and . GECCO, page 332-339. ACM, (2021)Learning classifier systems: from principles to modern systems., and . GECCO Companion, page 498-527. ACM, (2021)XCS with Adaptive Action Mapping., , and . SEAL, volume 7673 of Lecture Notes in Computer Science, page 138-147. Springer, (2012)