ALLPAD: Approximate learning of logic programs with annotated disjunctions

10Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we present,the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world learning problems more effectively. This is achieved by looking for an approximate solution rather than a perfect one. ALLPAD has been tested on the problem of classifying proteins according to their tertiary structure and the results compare favorably with most other approaches. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Riguzzi, F. (2007). ALLPAD: Approximate learning of logic programs with annotated disjunctions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4455 LNAI, pp. 43–45). Springer Verlag. https://doi.org/10.1007/978-3-540-73847-3_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free