Listar Artículos (Estadística e Investigación Operativa) por título
Mostrando ítems 186-205 de 394
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Integer constraints for enhancing interpretability in linear regression
(Institut d´Estadística de Catalunya (Idescat), 2020-04-01)One of the main challenges researchers face is to identify the most relevant features in a prediction model. As a ...
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Intermediación en el mercado laboral de mano de obra inmigrante extranjera en la Región de Murcia
(Universidad de Murcia, 2005-06-15)Este artículo, enfocado como un estudio de caso, aborda la intermediación laboral a través de las empresas de trabajo ...
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Intermediación en el mercado laboral de mano de obra inmigrante extranjera en la región de Murcia: el caso de las empresas de trabajo temporal
(Universidad de Murcia, 2005-06-23)Este artículo, enfocado como un estudio de caso, aborda la intermediación laboral a través de las empresas de trabajo ...
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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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Juegos con pagos vectoriales
(, 2002)En este trabajo analizamos los diferentes aspectos de la teoría de juego con pagos vectoriales. El carácter vectorial de ...
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Kernel Penalized K-means: A feature selection method based on Kernel K-means
(ELSEVIER SCIENCE BV, 2015-11-20)We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the ...
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Linear prediction of weak records: the discrete case
(Society for Industrial and Applied Mathematics, 2004)We characterize the family of discrete distributions for which the best mean square error predictor of a future weak record is a linear function of a past or observed weak record.
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Linear separation and approximation by minimizing the sum of concave functions of distances
(Springer, 2014-03-01)One recently proposed criterion to separate two data sets in Classification is to use a hyperplane that minimizes the sum ...
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Local influence on the general linear model
(Indian Statistical Institute, 1998)We study the Local Influence on the General Linear Model with a perturbation scheme in the variance-covariance matrix of ...
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Locating a competitive facility in the plane with a robustness criterion
(Elsevier, 2011-11-16)A new continuous location model is presented and embedded in the literature on robustness in facility location. The ...
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Locating a semi-obnoxious covering facility with repelling polygonal regions
(ELSEVIER SCIENCE BV, 2013-11-01)A facility is to be located in the Euclidean plane to serve certain sites by covering them closely. Simultaneously, a set ...
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Locating an undesirable facility by generalized cutting planes
(Informs, 1998-08-03)We address the problem of locating an undesirable facility within a compact set by minimizing a strictly decreasing ...
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Locating Objects in the Plane Using Global Optimization Techniques
(Informs, 2009-10-07)We address the problem of locating objects in the plane such as segments, arcs of circumferences, arbitrary convex sets, ...
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Location and shape of a rectangular facility in ℝn. Convexity properties. Convexity properties
(Springer, 1998-01-01)In this paper we address a generalization of the Weber problem, in which we seek for the center and the shape of a rectangle ...
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A management tool for indicator-supported systems: A public health service application
(ELSEVIER SCIENCE BV, 1992-01-01)We develop a decision-making methodology for hierarchical structures. It provides different decision makers with ...
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Mathematical programming formulations for the efficient solution of the k-sum approval voting problem
(Elsevier, 2018-10)In this paper we address the problem of electing a committee among a set of m candidates and on the basis of the preferences ...
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Maximal covering location problems on networks with regional demand
(Elsevier, 2016-10)Covering problems are well studied in the Operations Research literature under the assumption that both the set of users ...
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Maximin location: discretization not always works
(Springer, 1998-01-01)In this note we show by means of a simple example that, if the maximin problem with (nonlinear) concave increasing utility ...
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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 ...