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dc.contributor.authorÁvila Jiménez, José Luis
dc.contributor.authorGibaja, Eva
dc.contributor.authorZafra, Amelia
dc.contributor.authorVentura Soto, S.
dc.date.accessioned2026-02-10T13:14:21Z
dc.date.available2026-02-10T13:14:21Z
dc.date.issued2009
dc.identifier.isbn978-3-642-04393-2
dc.identifier.isbn978-3-642-04394-9
dc.identifier.urihttp://hdl.handle.net/10396/35118
dc.description.abstractIn this paper we present a Gene Expression Programming algorithm for multi-label classification. This algorithm encodes each individual into a discriminant function that shows whether a pattern belongs to a given class or not. The algorithm also applies a niching technique to guarantee that the population includes functions for each existing class. Our proposal has been compared with some recently published algorithms. The results on several datasets demonstrate the feasibility of this approach to tackle with multi-label problems.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isospaes_ES
dc.publisherSpringeres_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceÁvila, J.L., Gibaja, E.L., Zafra, A., Ventura, S. (2009). A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_69es_ES
dc.subjectMulti-label classificationes_ES
dc.subjectNitching algorithmes_ES
dc.subjectGenetic Programminges_ES
dc.titleA Niching Algorithm to Learn Discriminant Functions with Multi-Label Patternses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-642-04394-9_69es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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