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Paradigmatic analysis using genetic programming

dc.contributor.authorGrilo, Carlos Fernando Almeida
dc.contributor.authorMachado, Fernando
dc.contributor.authorCardoso, Fernando Amílcar Bandeira
dc.date.accessioned2009-08-13T09:57:54Z
dc.date.available2009-08-13T09:57:54Z
dc.date.issued2001
dc.description.abstractParadigmatic analysis consists in the segmentation of a musical piece through the identification of relations between different parts of the piece, and the classification of the identified segments into categories. In this paper we describe how a genetic programming system can be used to make the paradigmatic analysis of monophonic musical pieces, using a simple fitness function inspired in the Kolmogorov complexity estimation. We make use of automatically defined functions in order to represent segments. Relations are made explicit through the reuse of segments and the application of transformations to these segments.pt
dc.identifier.citationGRILO, Carlos; MACHADO, Fernando; CARDOSO, Amilcar - Paradigmatic analysis using genetic programming. In: Proceddings of AISB' 2001, Symposium on Artificial Intelligence and Creativity in Arts and Science. York: SSAISB, 2001.pt
dc.identifier.urihttp://hdl.handle.net/10400.8/87
dc.language.isoengpt
dc.publisherSociety for the Study of Artificial Intelligence and Simulation of Behaviourpt
dc.subjectMusical piecept
dc.subjectParadigmatic analysispt
dc.subjectGenetic programmingpt
dc.titleParadigmatic analysis using genetic programmingpt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceYorkpt
oaire.citation.endPage58pt
oaire.citation.startPage51pt
oaire.citation.titleAISB' 2001, Symposium on Artificial Intelligence and Creativity in Arts and Sciencept
person.familyNameGrilo
person.givenNameCarlos
person.identifier.ciencia-id081D-025A-33BC
person.identifier.orcid0000-0001-9727-905X
person.identifier.ridM-9551-2013
person.identifier.scopus-author-id23466972200
rcaap.rightsopenAccess
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublicationf2075503-40b3-49da-81c3-e0c50f97c9ab
relation.isAuthorOfPublication.latestForDiscoveryf2075503-40b3-49da-81c3-e0c50f97c9ab

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