dc.creator | Labbé, Martine | es |
dc.creator | Martínez Merino, Luisa Isabel | es |
dc.creator | Rodríguez Chía, Antonio Manuel | es |
dc.date.accessioned | 2022-10-24T07:03:44Z | |
dc.date.available | 2022-10-24T07:03:44Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Labbé, M., Martínez Merino, L.I. y Rodríguez Chía, A.M. (2019). Mixed integer linear programming for feature selection in support vector machine. Discrete Applied Mathematics, 261, 276-304. https://doi.org/10.1016/j.dam.2018.10.025. | |
dc.identifier.issn | 0166-218X | es |
dc.identifier.issn | 1872-6771 | es |
dc.identifier.uri | https://hdl.handle.net/11441/138253 | |
dc.description.abstract | This work focuses on support vector machine (SVM) with feature selection. A MILP formula-
tion is proposed for the problem. The choice of suitable features to construct the separating
hyperplanes has been modeled in this formulation by including a budget constraint that
sets in advance a limit on the number of features to be used in the classification process.
We propose both an exact and a heuristic procedure to solve this formulation in an efficient
way. Finally, the validation of the model is done by checking it with some well-known data
sets and comparing it with classical classification methods. | es |
dc.format | application/pdf | es |
dc.format.extent | 29 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Discrete Applied Mathematics, 261, 276-304. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Mathematical programming | es |
dc.subject | Kernel search algorithm | es |
dc.subject | Supervised classification | es |
dc.subject | Support vector machine | es |
dc.subject | Feature selection | es |
dc.title | Mixed integer linear programming for feature selection in support vector machine | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.publisherversion | https://doi.org/10.1016/j.dam.2018.10.025 | es |
dc.identifier.doi | 10.1016/j.dam.2018.10.025 | es |
dc.journaltitle | Discrete Applied Mathematics | es |
dc.publication.volumen | 261 | es |
dc.publication.initialPage | 276 | es |
dc.publication.endPage | 304 | es |