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Mostrando ítems 141-144 de 144
Artículo
On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023-01-13)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between prediction accuracy and sparsity is sought. Whilst fitting the tree model, the detection of a reduced ...
Artículo
Detecting relevant variables and interactions in supervised classification
(Elsevier, 2011-08-16)
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification ...
Artículo
Clustering categories in support vector machines
(Elsevier, 2016-02)
The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster Support Vector Machine (CLSVM) methodology is proposed with the aim to increase the sparsity of the SVM ...
Artículo
Máquinas de vector de apoyo: problemas de programación matemática en clasificación
(Sociedad de Estadística e Investigación Operativa, 2005-06)