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Mostrando ítems 1-5 de 5
Artículo
Two-group classification via a biobjective margin maximization model
(ELSEVIER SCIENCE BV, 2006-09-16)
In this paper we propose a biobjective model for two-group classification via margin maximization, in which the margins in both classes are simultaneously maximized. The set of Pareto-optimal solutions is described, yielding ...
Artículo
Supervised classification and mathematical optimization
(Elsevier, 2013-01)
Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between ...
Artículo
Alternating local search based VNS for linear classification
(Springer, 2010-02)
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We wish to determine the hyperplane which minimises the sum of distances from all misclassified points ...
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(ELSEVIER SCIENCE BV, 2018-11-24)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a benchmark tool for classification, in particular, of functional data. SVM is frequently used with a ...
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, ...