Year: 2005
Type: conference-paper
Abstract: We present the system nFOIL. It tightly integrates the naive 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. Copyright © 2005, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Source: Lirias
Institution: University of Freiburg
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W1543809641