Improving the ϵ -approximate algorithm for Probabilistic Classifier Chains

dc.contributor.author	Fernández Díaz, Miriam
dc.contributor.author	Fernández Díaz, Laura
dc.contributor.author	Mena, Deiner
dc.contributor.author	Montañés Roces, Elena
dc.contributor.author	Quevedo Pérez, José Ramón
dc.contributor.author	Coz Velasco, Juan José del
dc.date.accessioned	2020-06-26T07:57:09Z
dc.date.available	2020-06-26T07:57:09Z
dc.date.issued	2020
dc.identifier.citation	Knowledge and Information Systems (2020); doi:10.1007/s10115-020-01436-5
dc.identifier.issn	0219-1377
dc.identifier.uri	http://hdl.handle.net/10651/55261
dc.description.sponsorship	This research has been funded by MINECO (the Spanish Ministerio de Economía y Competitividad) and ERDF (European Regional Development Fund) under Grant TIN2015-65069-C2-2-R (MINECO/FEDER).
dc.language.iso	eng
dc.relation.ispartof	Knowledge and Information Systems
dc.rights	© Springer
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078850242&doi=10.1007%2fs10115-020-01436-5&partnerID=40&md5=ba3ac7cf5bef1987a682e3b217b387b3
dc.title	Improving the ϵ -approximate algorithm for Probabilistic Classifier Chains
dc.type	journal article
dc.identifier.doi	10.1007/s10115-020-01436-5
dc.relation.projectID	MINECO/FEDER/TIN2015-65069-C2-2-R
dc.relation.publisherversion	http://dx.doi.org/10.1007/s10115-020-01436-5
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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