Browsing by Author "Romero Morales, María Dolores"
Now showing items 1-20 of 29
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Article
A biobjective method for sample allocation in stratified sampling
(Elsevier, 2007-03-01)The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified ...
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Article
A biobjective method for sample allocation in stratified sampling
(ELSEVIER SCIENCE BV, 2006-02-16)The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified ...
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Article
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. ...
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Article
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 ...
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Article
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 ...
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Article
Combining minsum and minmax: A goal programming approach
(INST OPERATIONS RESEARCH MANAGEMENT SCIENCES, 1999-07-01)A number of methods for multiple-objective optimization problems (MOP) give as solution to MOP the set of optimal solutions ...
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Article
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. ...
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PhD Thesis
Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization
(2022-12-19)This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical ...
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Article
Finding the principal points of a random variable
(EDP Sciences, 2001)The p-principal points of a random variable X with finite second moment are those p points in R minimizing the expected ...
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Article
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. ...
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Article
Interpreting clusters via prototype optimization
(Elsevier, 2021)In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is ...
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PhD Thesis
Mathematical optimization for the visualization of complex datasets
(2017-06-26)This PhD dissertation focuses on developing new Mathematical Optimization models and solution approaches which help to ...
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PhD Thesis
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023-01-13)In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between ...
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Article
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021-12-01)Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base ...
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Article
On sparse optimal regression trees
(Elsevier, 2021-12-18)In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ...
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Article
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 ...