Feature selection through gravitational search algorithm

Registro completo de metadados
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPapa, J. P.-
Autor(es): dc.creatorPagnin, A.-
Autor(es): dc.creatorSchellini, Silvana Artioli-
Autor(es): dc.creatorSpadotto, A.-
Autor(es): dc.creatorGuido, R. C.-
Autor(es): dc.creatorPonti, M.-
Autor(es): dc.creatorChiachia, G.-
Autor(es): dc.creatorFalcao, A. X.-
Data de aceite: dc.date.accessioned2021-03-10T16:57:51Z-
Data de disponibilização: dc.date.available2021-03-10T16:57:51Z-
Data de envio: dc.date.issued2014-05-20-
Data de envio: dc.date.issued2014-05-20-
Data de envio: dc.date.issued2011-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ICASSP.2011.5946916-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/12545-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/12545-
Descrição: dc.descriptionIn this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the speed of Optimum-Path Forest (OPF) classifier in order to provide a fast and accurate framework for feature selection. Experiments on datasets obtained from a wide range of applications, such as vowel recognition, image classification and fraud detection in power distribution systems are conducted in order to asses the robustness of the proposed technique against Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and a Particle Swarm Optimization (PSO)-based algorithm for feature selection.-
Formato: dc.format2052-2055-
Idioma: dc.languageen-
Publicador: dc.publisherIEEE-
Relação: dc.relation2011 IEEE International Conference on Acoustics, Speech, and Signal Processing-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectFeature selection-
Palavras-chave: dc.subjectPattern classification-
Palavras-chave: dc.subjectOptimum-Path Forest-
Palavras-chave: dc.subjectGravitational Search Algorithm-
Título: dc.titleFeature selection through gravitational search algorithm-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.