Representing Biases for Inductive Logic Programming
Abstract
As each of the four main approaches to a declarative bias represention in Inductive Logic Programming (ILP), the representation by parameterized languages or by clause sets, the grammar-based and the scheme-based representation, fails in representing all language biases in ILP systems, we present a unifying representation language MILES-CTL for these biases by extending the scheme-based approach.
Cite
Text
Tausend. "Representing Biases for Inductive Logic Programming." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_90Markdown
[Tausend. "Representing Biases for Inductive Logic Programming." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/tausend1994ecml-representing/) doi:10.1007/3-540-57868-4_90BibTeX
@inproceedings{tausend1994ecml-representing,
title = {{Representing Biases for Inductive Logic Programming}},
author = {Tausend, Birgit},
booktitle = {European Conference on Machine Learning},
year = {1994},
pages = {427-430},
doi = {10.1007/3-540-57868-4_90},
url = {https://mlanthology.org/ecmlpkdd/1994/tausend1994ecml-representing/}
}