ML Anthology

The Generality of Overgenerality

William W. Cohen
ICML 1991 pp. 490-494
doi:10.1016/B978-1-55860-200-7.50100-8 /icml/1991/cohen1991icml-generality/

Abstract

Theory specialization is the process of using examples to specialize an overgeneral domain theory. This paper shows by example that many different types of background knowledge can be encoded as overgeneral theories, and further, that these theories can be specialized using existing theory specialization techniques. A consequence of this is that theory specialization techniques are a surprisingly general way of making use of background knowledge.

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Cite

Text

Cohen. "The Generality of Overgenerality." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50100-8

Markdown

[Cohen. "The Generality of Overgenerality." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/cohen1991icml-generality/) doi:10.1016/B978-1-55860-200-7.50100-8

BibTeX

@inproceedings{cohen1991icml-generality,
  title     = {{The Generality of Overgenerality}},
  author    = {Cohen, William W.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {490-494},
  doi       = {10.1016/B978-1-55860-200-7.50100-8},
  url       = {https://mlanthology.org/icml/1991/cohen1991icml-generality/}
}