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Artículo
Binarized support vector machines
(INFORMS (Institute for Operations Research and Management Sciences), 2010)
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have become more popular among practitioners than ...
Artículo
Visualizing proportions and dissimilarities by space-filling maps: a large neighborhood search approach
(Elsevier, 2017-02)
In this paper we address the problem of visualizing a set of individuals, which have attached a statistical value given as a proportion, and a dissimilarity measure. Each individual is represented as a region within the ...
Artículo
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
(Mary Ann Liebert, INC, 2018-06-01)
In this article we develop a novel online framework to visualize news data over a time horizon. First, we perform a Natural Language Processing analysis, wherein the words are extracted, and their attributes, namely the ...
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 ...
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
Visualizing data as objects by DC (difference of convex) optimization
(Springer, 2017)
In this paper we address the problem of visualizing in a bounded region a set of individuals, which has attached a dissimilarity measure and a statistical value, as convex objects. This problem, which extends the standard ...
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
On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps
(ELSEVIER SCIENCE BV, 2018-02-18)
In this paper, we address the problem of visualizing a frequency distribution and an adjacency relation attached to a set of individuals. We represent this information using a rectangular map, i.e., a subdivision of a ...
Artículo
A nested heuristic for parameter tuning in support vector machines
(Elsevier, 2014-03)
The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. Different metaheuristics have been recently proposed as a more efficient alternative, but they have ...
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. ...