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Listar Estadística e Investigación Operativa por autor "Martín Barragán, Belén"
Mostrando ítems 1-12 de 12
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Artículo
A nested heuristic for parameter tuning in support vector machines
Carrizosa Priego, Emilio José; Martín Barragán, Belén; Romero Morales, María Dolores (Elsevier, 2014-03)The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. ...
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Artículo
Binarized support vector machines
Carrizosa Priego, Emilio José; Martín Barragán, Belén; Romero Morales, María Dolores (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 ...
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Artículo
Detecting relevant variables and interactions in supervised classification
Carrizosa Priego, Emilio José; Martín Barragán, Belén; Romero Morales, María Dolores (Elsevier, 2011-08-16)The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. ...
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Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (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 ...
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Artículo
Maximizing upgrading and downgrading margins for ordinal regression
Carrizosa Priego, Emilio José; Martín Barragán, Belén (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 ...
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Artículo
Máquinas de vector de apoyo: problemas de programación matemática en clasificación
Carrizosa Priego, Emilio José; Martín Barragán, Belén (Sociedad de Estadística e Investigación Operativa, 2005-06) -
Artículo
Multi-group support vector machines with measurement costs a biobjective approach
Carrizosa Priego, Emilio José; Martín Barragán, Belén; Romero Morales, María Dolores (Elsevier, 2008-03)Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we ...
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Artículo
On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification
Carrizosa Priego, Emilio José; Martín Barragán, Belén; Plastria, Frank; Romero Morales, María Dolores (Informs, 2007-07-20)The nearest-neighbor classifier has been shown to be a powerful tool for multiclass classification. We explore both ...
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Tesis Doctoral
Programación matemática para las máquinas de vector de apoyo: mathematical programming for support vector machines
Martín Barragán, Belén (2006)En esta Tesis Doctoral, presentamos algunas propuestas en las que las herramientas de la Programación Matemática se usan ...
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Artículo
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (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 ...
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Artículo
Two-group classification via a biobjective margin maximization model
Carrizosa Priego, Emilio José; Martín Barragán, Belén (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 ...
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Artículo
Variable selection in classification for multivariate functional data
Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (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 ...