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Listar Estadística e Investigación Operativa por autor "Nogales Gómez, Amaya"
Mostrando ítems 1-6 de 6
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Artículo
Clustering categories in support vector machines
Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Romero Morales, María Dolores (Elsevier, 2016-02)The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster ...
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Artículo
Heuristic approaches for support vector machines with the ramp loss
Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Romero Morales, María Dolores (Springer, 2014-03)Recently, Support Vector Machines with the ramp loss (RLM) have attracted attention from the computational point of view. ...
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Tesis Doctoral
Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification
Nogales Gómez, Amaya (2015-02-25)This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important ...
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Artículo
p-facility Huff location problem on networks
Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Gazdag-Tóth, Boglárka; Nogales Gómez, Amaya (Elsevier, 2016-11-16)The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market ...
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Artículo
Single-facility huff location problems on networks
Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Plastria, Frank (Springer, 2013-09-17)Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, ...
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Artículo
Strongly agree or strongly disagree? Rating features in support vector machines
Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Romero Morales, María Dolores (Elsevier, 2016-02)In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are ...