Probabilistic Evaluating of Bias for Learning Systems

desJardins, Marie

doi:10.1016/B978-1-55860-200-7.50101-X

Probabilistic Evaluating of Bias for Learning Systems

Marie desJardins

ICML 1991 pp. 495-499

doi:10.1016/B978-1-55860-200-7.50101-X /icml/1991/desjardins1991icml-probabilistic/

Abstract

A method for using probabilistic background knowledge to select features for representing learned concepts is described. The method uses a model of the tradeoff between accuracy (predictiveness) and simplicity (size) of hypothesis spaces. Preliminary results of using various biases for a learning task in a randomized test domain are discussed.

ICML Semantic Scholar

Cite

Text

desJardins. "Probabilistic Evaluating of Bias for Learning Systems." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50101-X

Markdown

[desJardins. "Probabilistic Evaluating of Bias for Learning Systems." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/desjardins1991icml-probabilistic/) doi:10.1016/B978-1-55860-200-7.50101-X

BibTeX

@inproceedings{desjardins1991icml-probabilistic,
  title     = {{Probabilistic Evaluating of Bias for Learning Systems}},
  author    = {desJardins, Marie},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {495-499},
  doi       = {10.1016/B978-1-55860-200-7.50101-X},
  url       = {https://mlanthology.org/icml/1991/desjardins1991icml-probabilistic/}
}