Improving the search of learning classifier systems through interpretable feature clustering-Reference-Cited by-同舟云学术

Improving the search of learning classifier systems through interpretable feature clustering

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Andersen Hayden¹,Lensen Andrew¹,Browne Will N.²

Affiliation:

1. Victoria University of Wellington, Wellington, New Zealand

2. Queensland University of Technology, Brisbane, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3534027

Reference13 articles.

1. Introduction to Learning Classifier Systems

2. Y. Liu "Learning Classifier Systems for Understanding Patterns in Data " 6 2021. Y. Liu "Learning Classifier Systems for Understanding Patterns in Data " 6 2021.

3. The Elements of Statistical Learning

4. A. Gupta A. Gupta and K. Sharma "Clustering based feature selection methods from fmri data for classification of cognitive states of the human brain " in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) 2016 pp. 3581--3584. A. Gupta A. Gupta and K. Sharma "Clustering based feature selection methods from fmri data for classification of cognitive states of the human brain " in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) 2016 pp. 3581--3584.

5. Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks

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