ML Anthology

An Evolutionary Function Approximation Approach to Compute Prediction in XCSF

Ali Hamzeh, Adel Rahmani
ECML-PKDD 2005 pp. 584-592
doi:10.1007/11564096_57 /ecmlpkdd/2005/hamzeh2005ecml-evolutionary/

Abstract

XCSF is a new extension to XCS that is developed to extend XCS’s reward calculation capability via computing. This new feature is called computable prediction . The first version of XCSF tries to find the most appropriate equation to compute each classifier’s reward using a weight update mechanism. In this paper, we try to propose a new evolutionary mechanism to compute these equations using genetic algorithms.

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Cite

Text

Hamzeh and Rahmani. "An Evolutionary Function Approximation Approach to Compute Prediction in XCSF." European Conference on Machine Learning, 2005. doi:10.1007/11564096_57

Markdown

[Hamzeh and Rahmani. "An Evolutionary Function Approximation Approach to Compute Prediction in XCSF." European Conference on Machine Learning, 2005.](https://mlanthology.org/ecmlpkdd/2005/hamzeh2005ecml-evolutionary/) doi:10.1007/11564096_57

BibTeX

@inproceedings{hamzeh2005ecml-evolutionary,
  title     = {{An Evolutionary Function Approximation Approach to Compute Prediction in XCSF}},
  author    = {Hamzeh, Ali and Rahmani, Adel},
  booktitle = {European Conference on Machine Learning},
  year      = {2005},
  pages     = {584-592},
  doi       = {10.1007/11564096_57},
  url       = {https://mlanthology.org/ecmlpkdd/2005/hamzeh2005ecml-evolutionary/}
}