ML Anthology

Improving Shared Rules in Multiple Category Domain Theories

Dirk Ourston, Raymond J. Mooney
ICML 1991 pp. 534-538
doi:10.1016/B978-1-55860-200-7.50109-4 /icml/1991/ourston1991icml-improving/

Abstract

This paper presents an approach to improving the classification performance of a multiple category theory by correcting intermediate rules which are shared among the categories. Using this technique, the performance of a theory in one category can be improved through training in an entirely different category. Examples of the technique are presented and experimental results are given.

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Cite

Text

Ourston and Mooney. "Improving Shared Rules in Multiple Category Domain Theories." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50109-4

Markdown

[Ourston and Mooney. "Improving Shared Rules in Multiple Category Domain Theories." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/ourston1991icml-improving/) doi:10.1016/B978-1-55860-200-7.50109-4

BibTeX

@inproceedings{ourston1991icml-improving,
  title     = {{Improving Shared Rules in Multiple Category Domain Theories}},
  author    = {Ourston, Dirk and Mooney, Raymond J.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {534-538},
  doi       = {10.1016/B978-1-55860-200-7.50109-4},
  url       = {https://mlanthology.org/icml/1991/ourston1991icml-improving/}
}