Discrimination-Based Constructive Induction of Logic Programs
Abstract
This paper presents a new approach to constructive induction, Discrimination-Based Constructive induction(DBC), which invents useful predicates in learning relations. Triggered by failure of selective induction, DBC finds a minimal set of variables forming a new predicate that discriminates between positive and negative examples, and induces a definition of the invented predicate. If necessary, it also induces subpredicates for the definition. Experimental results show that DBC learns meaningful predicates without any interactive guidance.
Cite
Text
Kijsirikul et al. "Discrimination-Based Constructive Induction of Logic Programs." AAAI Conference on Artificial Intelligence, 1992.Markdown
[Kijsirikul et al. "Discrimination-Based Constructive Induction of Logic Programs." AAAI Conference on Artificial Intelligence, 1992.](https://mlanthology.org/aaai/1992/kijsirikul1992aaai-discrimination/)BibTeX
@inproceedings{kijsirikul1992aaai-discrimination,
title = {{Discrimination-Based Constructive Induction of Logic Programs}},
author = {Kijsirikul, Boonserm and Numao, Masayuki and Shimura, Masamichi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1992},
pages = {44-49},
url = {https://mlanthology.org/aaai/1992/kijsirikul1992aaai-discrimination/}
}