ListarEstadística e Investigación Operativa por materia "Feature selection"
Mostrando ítems 1-4 de 4
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Artículo
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018-03)Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the ...
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Artículo
Kernel Penalized K-means: A feature selection method based on Kernel K-means
(ELSEVIER SCIENCE BV, 2015-11-20)We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the ...
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Mixed integer linear programming for feature selection in support vector machine
(Elsevier, 2019)This work focuses on support vector machine (SVM) with feature selection. A MILP formula- tion is proposed for the problem. ...
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Artículo
Variable selection in classification for multivariate functional data
(ELSEVIER SCIENCE INC, 2019-05-01)When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an ...