Por favor, use este identificador para citar o enlazar este ítem:
http://www.repositorio.ufop.br/jspui/handle/123456789/16117
Título : | A mixed quadratic programming model for a robust support vector machine. |
Autor : | Serna Diaz, Raquel Leite, Raimundo Santos Silva, Paulo José da Silva e |
Palabras clave : | Mixed integer quadratic programming Outliers Classification |
Fecha de publicación : | 2021 |
Citación : | SERNA DIAZ, R.; LEITE, R. S.; SILVA, P. J. da S. e. A mixed quadratic programming model for a robust support vector machine. Selecciones Matematicas, v. 8, n. 1, p. 27-36, 2021. Disponível em: <https://www.ime.unicamp.br/~pjssilva/papers/robust/>. Acesso em: 06 jul. 2022. |
Resumen : | Support Vector Machines are extensively used to solve classification problems in Pattern Recognition. They deal with small errors in the training data using the concept of soft margin, that allow for imperfect classification. However, if the training data have systematic errors or outliers such strategy is not robust resulting in bad generalization. In this paper we present a model for robust Support Vector Machine classification that can automatically ignore spurius data. We show then that the model can be solved using a high performance Mixed Integer Quadratic Programming solver and present preliminary numerical experiments using real world data that looks promissing. |
URI : | http://www.repositorio.ufop.br/jspui/handle/123456789/16117 |
metadata.dc.identifier.doi: | https://dx.doi.org/10.17268/sel.mat.2021.01.03 |
ISSN : | 2411-1783 |
metadata.dc.rights.license: | This work is licensed under the Creative Commons - Attribution 4.0 International (CC BY 4.0). Fonte: o PDF do artigo. |
Aparece en las colecciones: | DEMAT - Artigos publicados em periódicos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
ARTIGO_MixedQuadraticProgramming.pdf | 546,15 kB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.