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A methodology for first order learning : a case study
Wim Van Laer
and Luc De Raedt.
In F. Verdenius
and W. van den Broek, editors, Eighth Belgian-Dutch
Conference on Machine Learning, pages 105--113. ATO-DLO, November
1998.
Abstract
Many well-known learning systems like \CNT\ and C4.5 use an attribute-value
representation for the examples. In Inductive Logic Programming (ILP) a
first-order logical formalism is used, which is a more expressive
representation. We will introduce a 5-step methodology to upgrade an existing
propositional learner towards a first-order learning system. The system \Icl\
(\em Inductive Classification Logic) is used as a case study.
BibTeX entry.
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Wim Van Laer,
Wim.VanLaer@cs.kuleuven.ac.be,
L De Raedt,
Luc.DeRaedt@cs.kuleuven.ac.be. Last modified on Wednesday 9 April 2003 at 18:31. © 2003 ILPnet2