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Mostrando ítems 11-13 de 13
Artículo
Sparsity in optimal randomized classification trees
(ELSEVIER SCIENCE BV, 2019-12-16)
Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a greedy approach has been used to build the trees, yielding a very fast training process; however, ...
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 ...