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Mostrando ítems 11-20 de 21
Artículo
Extremal bounded complete trajectories for nonautonomous reaction-diffusion equations with discontinuous forcing term
(Springer, 2020)
In this paper we establish a strong comparison principle for a nonautonomous differential inclusion with a forcing term of Heaviside type. Using this principle, we study the structure of the global attractor in both the ...
Artículo
Network flow based approaches for the pipelines routing problem in naval design
(Elsevier, 2022)
In this paper we propose a general methodology for the optimal automatic routing of spatial pipelines motivated by a recent collaboration with Ghenova, a leading Naval Engineering company. We provide a minimum cost ...
Artículo
On minimax-regret Huff location models
(Elsevier, 2011-01)
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 ...
Artículo
Modelización del hábitat potencial de formaciones forestales en la provincia de Huelva
(Sociedad Española de la Ciencia del Suelo, 2005)
Three methods for modelling the potential distribution of forest formations in protected areas in southern Spain are discussed in this paper: logistic multiple regression, artificial neural net and decision tree. For every ...
Artículo
La problemática relación entre estadística y ostrácodos marinos
(Universidad de Huelva, 2005)
This paper analyses the possibilities of the statistical techniques in the treatment of marine ostracod populations, with the indication of the commonest problems observed in the different stages (sampling, laboratory ...
Artículo
Multi-group support vector machines with measurement costs a biobjective approach
(Elsevier, 2008-03)
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimization model in which we consider not only ...
Artículo
A sparsity-controlled vector autoregressive model
(Oxford University Press, 2017-04)
Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since sparseness, crucial to identify and visualize joint dependencies and relevant causalities, is not ...
Artículo
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
(Springer, 2009-11)
The Big Triangle Small Triangle method has shown to be a powerful global optimization procedure to address continuous location problems. In the paper published in J. Global Optim. (37:305–319, 2007), Drezner proposes a ...
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 ...