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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorFornells Herrera, Albert
dc.contributor.authorCamps Dausà, Joan
dc.contributor.authorGolobardes, Elisabet
dc.contributor.authorGarrell i Guiu, Josep Maria
dc.date.accessioned2021-06-14T16:56:26Z
dc.date.accessioned2023-07-13T09:53:29Z
dc.date.available2021-06-14T16:56:26Z
dc.date.available2023-07-13T09:53:29Z
dc.date.created2005-10
dc.date.issued2005-10
dc.identifier.urihttp://hdl.handle.net/20.500.14342/2994
dc.description.abstractOne of the main keys in case-based reasoning system is the retrievalphase, where the most similar cases are retrieved by means of a similarity function.According to the problem, the similarity function must be selected and adapteddepending on the characteristics and properties of the problem’s domain. The goalof this article is to present a platform called BRAIN, which incorporates strategiesbased on different evolutionary approaches to design similarity functions ad hocfor a domain to be used in a case-based reasoning system. The strategies are basedon Genetic Programming and Grammar Evolution approaches. Both are applied todifferent data sets to study the influence of their characteristic in the accuracy rateand in the execution time.eng
dc.format.extent8 p.cat
dc.language.isoengcat
dc.publisher8th International Conference of the ACIA on Artificial Intelligence Research and Development, Alguer, 26-28 October, 2005cat
dc.relation.ispartofProceedings of the 8th International Conference of the ACIAcat
dc.rights© L'autor/a. Tots els drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherAprenentatge automàticcat
dc.subject.otherProgramació genètica (Informàtica)cat
dc.titleComparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functionscat
dc.typeinfo:eu-repo/semantics/conferenceObjectcat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc62


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