ML Anthology

Biases and Their Effects in Inductive Logic Programming

Birgit Tausend
ECML-PKDD 1994 pp. 431-434
doi:10.1007/3-540-57868-4_91 /ecmlpkdd/1994/tausend1994ecml-biases/

Abstract

The shift from attribute-value based hypothesis languages to Horn clause logic as in Inductive Logic Programming (ILP) results in a very complex hypothesis space. In this paper, we study how the basic constituents of biases reduce the size of the hypothesis space in ILP.

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Cite

Text

Tausend. "Biases and Their Effects in Inductive Logic Programming." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_91

Markdown

[Tausend. "Biases and Their Effects in Inductive Logic Programming." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/tausend1994ecml-biases/) doi:10.1007/3-540-57868-4_91

BibTeX

@inproceedings{tausend1994ecml-biases,
  title     = {{Biases and Their Effects in Inductive Logic Programming}},
  author    = {Tausend, Birgit},
  booktitle = {European Conference on Machine Learning},
  year      = {1994},
  pages     = {431-434},
  doi       = {10.1007/3-540-57868-4_91},
  url       = {https://mlanthology.org/ecmlpkdd/1994/tausend1994ecml-biases/}
}