Now showing items 1-10 of 48
Cost-sensitive feature selection for support vector machines [Article]
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by ...
Programación matemática para las máquinas de vector de apoyo: mathematical programming for support vector machines [PhD Thesis]
En esta Tesis Doctoral, presentamos algunas propuestas en las que las herramientas de la Programación Matemática se usan para obtener clasificadores que tengan algunas propiedades interesantes. En aplicaciones prácticas, ...
Robust facility location [Article]
Let A be a nonempty finite subset of the plane representing the geographical coordinates of a set of demand points (towns, …), to be served by a facility, whose location within a given region S is sought. Assuming that the ...
Optimization of multiple receivers solar power tower systems [Article]
In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The proposed procedure allows to optimize the different receivers (height, aperture tilt angle, azimuth ...
Clustering categories in support vector machines [Article]
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 ...
Máquinas de vector de apoyo: problemas de programación matemática en clasificación [Article]
(Sociedad de Estadística e Investigación Operativa, 2005-06)
On minimax-regret Huff location models [Article]
We address the following single-facility location problem: a firm is entering into a market by locating one facility in a region of the plane. The demand captured from each user by the facility will be proportional to the ...
Inferring efficient weights from pairwise comparison matrices [Article]
Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, reflecting their relative importance.One of the most popular ways to infer such weights is the ...
Maximal covering location problems on networks with regional demand [Article]
Covering problems are well studied in the Operations Research literature under the assumption that both the set of users and the set of potential facilities are finite. In this paper we address the following variant, which ...
Locating a competitive facility in the plane with a robustness criterion [Article]
A new continuous location model is presented and embedded in the literature on robustness in facility location. The multimodality of the model is investigated, and a branch and bound method based on dc optimization is ...