ML Anthology

Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract)

Cathy Escazut, Philippe Collard
ECML-PKDD 1995 pp. 271-274
doi:10.1007/3-540-59286-5_65 /ecmlpkdd/1995/escazut1995ecml-learning/

Abstract

Genetics-Based Machine Learning systems suffer from many problems as representational weaknesses. We propose to introduce more general structures we used to learn disjunctive normal forms. Results show how our model can be used to discover and maintain complete classifier solutions.

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Cite

Text

Escazut and Collard. "Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract)." European Conference on Machine Learning, 1995. doi:10.1007/3-540-59286-5_65

Markdown

[Escazut and Collard. "Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract)." European Conference on Machine Learning, 1995.](https://mlanthology.org/ecmlpkdd/1995/escazut1995ecml-learning/) doi:10.1007/3-540-59286-5_65

BibTeX

@inproceedings{escazut1995ecml-learning,
  title     = {{Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract)}},
  author    = {Escazut, Cathy and Collard, Philippe},
  booktitle = {European Conference on Machine Learning},
  year      = {1995},
  pages     = {271-274},
  doi       = {10.1007/3-540-59286-5_65},
  url       = {https://mlanthology.org/ecmlpkdd/1995/escazut1995ecml-learning/}
}