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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
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 ...
Tesis Doctoral
Programación matemática para las máquinas de vector de apoyo: mathematical programming for support vector machines
(2006)
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, ...
Artículo
Maximizing upgrading and downgrading margins for ordinal regression
(Springer, 2011-12-01)
In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of ranked classes. Classifying an individual in a class with higher (respectively lower) rank than its actual ...
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
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
(PERGAMON-ELSEVIER SCIENCE LTD, 2020-07-19)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time instants and certain time intervals may play a crucial role in the data analysis. We develop a method ...
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
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
On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification
(Informs, 2007-07-20)
The nearest-neighbor classifier has been shown to be a powerful tool for multiclass classification. We explore both theoretical properties and empirical behavior of a variant method, in which the nearest-neighbor rule is ...
Artículo
Variable selection in classification for multivariate functional data
(ELSEVIER SCIENCE INC, 2019-05-01)
When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an improvement in the predictive ability of the estimated model, in addition to reducing the model complexity. ...