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Mostrando ítems 1-6 de 6
Artículo
p-facility Huff location problem on networks
(Elsevier, 2016-11-16)
The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market share. While it has been deeply studied in the field of continuous location, in this paper we study ...
Artículo
Heuristic approaches for support vector machines with the ramp loss
(Springer, 2014-03)
Recently, Support Vector Machines with the ramp loss (RLM) have attracted attention from the computational point of view. In this technical note, we propose two heuristics, the first one based on solving the continuous relaxation ...
Tesis Doctoral
Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification
(2015-02-25)
This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important and current applications: competitive location on networks [59, 64] and Support Vector Machines ...
Artículo
Single-facility huff location problems on networks
(Springer, 2013-09-17)
Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, two Huff location models on networks are addressed, by considering that users go directly to the ...
Artículo
Strongly agree or strongly disagree? Rating features in support vector machines
(Elsevier, 2016-02)
In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are assigned to classes based on the linear combination of the scores and the values of the features. ...
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 ...