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A quasi-metric for machine learning

Authors :
Miguel A. Gutiérrez-Naranjo
José A. Alonso-Jiménez
Joaquín Borrego-Díaz
Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Universidad de Sevilla. TIC137: Logica, Computacion e Ingenieria del Conocimiento
Ministerio de Ciencia y Tecnología (MCYT). España
Junta de Andalucía
Source :
Scopus-Elsevier, Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317, IBERAMIA, idUS. Depósito de Investigación de la Universidad de Sevilla, instname

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 C 1 subsumes the clause C 2 iff C 1 can be reached from C 2 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. Ministerio de Ciencia y Tecnología TIC 2000-1368-C03-0 Junta de Andalucía TIC-137

Details

ISBN :
978-3-540-00131-7
ISBNs :
9783540001317
Database :
OpenAIRE
Journal :
Scopus-Elsevier, Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317, IBERAMIA, idUS. Depósito de Investigación de la Universidad de Sevilla, instname
Accession number :
edsair.doi.dedup.....2eedf20b55a1e1380b4f795d3216c808