ML Anthology

nFOIL: Integrating Naïve Bayes and FOIL

Niels Landwehr, Kristian Kersting, Luc De Raedt
AAAI 2005 pp. 795-800
/aaai/2005/landwehr2005aaai-nfoil/

Abstract

We present the system nFOIL. It tightly integrates the naïve Bayes learning scheme with the inductive logic programming rule-learner FOIL. In contrast to previous combinations, which have employed naïve Bayes only for post-processing the rule sets, nFOIL employs the naïve Bayes criterion to directly guide its search. Experimental evidence shows that nFOIL performs better than both its base line algorithm FOIL or the post-processing approach, and is at the same time competitive with more sophisticated approaches.

PDF AAAI Semantic Scholar

Cite

Text

Landwehr et al. "nFOIL: Integrating Naïve Bayes and FOIL." AAAI Conference on Artificial Intelligence, 2005.

Markdown

[Landwehr et al. "nFOIL: Integrating Naïve Bayes and FOIL." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/landwehr2005aaai-nfoil/)

BibTeX

@inproceedings{landwehr2005aaai-nfoil,
  title     = {{nFOIL: Integrating Naïve Bayes and FOIL}},
  author    = {Landwehr, Niels and Kersting, Kristian and De Raedt, Luc},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {795-800},
  url       = {https://mlanthology.org/aaai/2005/landwehr2005aaai-nfoil/}
}