A Quasi-Metric for Machine Learning

Fri, 11/30/2007 - 13:27 — ana

Title	A Quasi-Metric for Machine Learning
Publication Type	Journal Papers
Year of Publication	2002
Authors	Gutiérrez-Naranjo, M. A., Alonso-Jiménez J. A., & Borrego-Díaz J.
Journal Title	Lecture Notes in Computer Science
ISBN Number	978-3-540-00131-7
Publisher	Springer
Place Published	Amsterdam, The Netherlands
Volume	2527
Pages	193-203
Abstract	The subsumption relation is crucial in the Machine Learning systems based on a clausal representation. In this paper we present a class of operators for Machine Learning based on clauses which is a characterization of the subsumption relation in the following sense: The clause C1 subsumes the clause C2 iff C1 can be reached from C2 by applying these operators. In the second part of the paper we give a formalization of the closeness among clauses based on these operators and an algorithm to compute it as well as a bound for a quick estimation.
URL	http://dx.doi.org/10.1007/3-540-36131-6_20
ISSN Number	0302-9743
DOI	10.1007/3-540-36131-6_20