A Quasi-Metric for Machine Learning

Gutiérrez Naranjo, Miguel Ángel; Alonso Jiménez, José Antonio; Borrego Díaz, Joaquín

doi:10.1007/3-540-36131-6_20

Ponencia

dc.creator	Gutiérrez Naranjo, Miguel Ángel	es
dc.creator	Alonso Jiménez, José Antonio	es
dc.creator	Borrego Díaz, Joaquín	es
dc.date.accessioned	2018-03-27T08:31:45Z
dc.date.available	2018-03-27T08:31:45Z
dc.date.issued	2002
dc.identifier.citation	Gutiérrez Naranjo, M.Á., Alonso Jiménez, J.A. y Borrego Díaz, J. (2002). A Quasi-Metric for Machine Learning. En IBERAMIA 2002: 8th Ibero-American Conference on Artificial Intelligence (193-203), Seville, Spain: Springer.
dc.identifier.isbn	978-3-540-00131-7	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/71334
dc.description.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.	es
dc.description.sponsorship	Ministerio de Ciencia y Tecnología TIC 2000-1368-C03-0	es
dc.description.sponsorship	Junta de Andalucía TIC-137	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	IBERAMIA 2002: 8th Ibero-American Conference on Artificial Intelligence (2002), p 193-203
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	A Quasi-Metric for Machine Learning	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.projectID	TIC 2000-1368-C03-0	es
dc.relation.projectID	TIC-137	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/3-540-36131-6_20	es
dc.identifier.doi	10.1007/3-540-36131-6_20	es
dc.contributor.group	Universidad de Sevilla. TIC137: Logica, Computacion e Ingenieria del Conocimiento	es
idus.format.extent	11	es
dc.publication.initialPage	193	es
dc.publication.endPage	203	es
dc.eventtitle	IBERAMIA 2002: 8th Ibero-American Conference on Artificial Intelligence	es
dc.eventinstitution	Seville, Spain	es
dc.relation.publicationplace	Berlín	es
dc.identifier.sisius	6526142	es
dc.contributor.funder	Ministerio de Ciencia y Tecnología (MCYT). España
dc.contributor.funder	Junta de Andalucía

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