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Parameter selection in least squares-support vector machines regression oriented, using generalized cross-validation
dc.rights.license | Atribución-NoComercial 4.0 Internacional |
dc.contributor.author | Álvarez-Meza, Andrés Marino |
dc.contributor.author | Daza Santacoloma, Genaro |
dc.contributor.author | Acosta Mejia, Carlos |
dc.contributor.author | Castallanos Dominguez, German |
dc.date.accessioned | 2019-06-26T14:19:28Z |
dc.date.available | 2019-06-26T14:19:28Z |
dc.date.issued | 2012 |
dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/31045 |
dc.description.abstract | In this work a new methodology for automatic selection of the free parameters in the Least Squares–Support Vector Machines (LS-SVM) regression oriented algorithm is proposed. We employ a multidimensional Generalized Cross-Validation analysis in the linear equation system of LS-SVM. Our approach does not require a prior knowledge about the influence of the LS-SVM free parameters in the results. The methodology is tested on two artificial and two real-world data sets. According to the results our methodology computes suitable regressions with competitive relative errors. |
dc.format.mimetype | application/pdf |
dc.language.iso | spa |
dc.publisher | Universidad Nacional de Colombia Sede Medellín |
dc.relation | http://revistas.unal.edu.co/index.php/dyna/article/view/17407 |
dc.relation.ispartof | Universidad Nacional de Colombia Revistas electrónicas UN Dyna |
dc.relation.ispartof | Dyna |
dc.relation.ispartofseries | Dyna; Vol. 79, núm. 171 (2012); 23-30 DYNA; Vol. 79, núm. 171 (2012); 23-30 2346-2183 0012-7353 |
dc.rights | Derechos reservados - Universidad Nacional de Colombia |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
dc.title | Parameter selection in least squares-support vector machines regression oriented, using generalized cross-validation |
dc.type | Artículo de revista |
dc.type.driver | info:eu-repo/semantics/article |
dc.type.version | info:eu-repo/semantics/publishedVersion |
dc.identifier.eprints | http://bdigital.unal.edu.co/21121/ |
dc.relation.references | Álvarez-Meza, Andrés Marino and Daza Santacoloma, Genaro and Acosta Mejia, Carlos and Castallanos Dominguez, German (2012) Parameter selection in least squares-support vector machines regression oriented, using generalized cross-validation. Dyna; Vol. 79, núm. 171 (2012); 23-30 DYNA; Vol. 79, núm. 171 (2012); 23-30 2346-2183 0012-7353 . |
dc.rights.accessrights | info:eu-repo/semantics/openAccess |
dc.subject.proposal | Informatics |
dc.subject.proposal | Electrical and Electronic Engineering |
dc.subject.proposal | Parameter selection |
dc.subject.proposal | Least Squares-Support Vector Machines |
dc.subject.proposal | Multidimensional Generalized Cross Validation |
dc.subject.proposal | Regression. |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content | Text |
dc.type.redcol | http://purl.org/redcol/resource_type/ART |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
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