Now showing items 1-8 of 8
Robust facility location [Article]
Let A be a nonempty finite subset of the plane representing the geographical coordinates of a set of demand points (towns, …), to be served by a facility, whose location within a given region S is sought. Assuming that the ...
Finding the principal points of a random variable [Article]
(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 squared distance from X to the closest point. Although the determination of principal points involves ...
A biobjective method for sample allocation in stratified sampling [Article]
The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified random sampling, the sample size must be allocated to strata in order to optimize both objectives. ...
Multi-group support vector machines with measurement costs a biobjective approach [Article]
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 ...
Optimal expected-distance separating halfspace [Article]
(INFORMS (Institute for Operations Research and Management Sciences), 2008-08)
One recently proposed criterion to separate two datasets in discriminant analysis, is to use a hyperplane which minimises the sum of distances to it from all the misclassified data points. Here all distances are supposed ...
Problemas de clasificación y optimización [Article]
(Real Academia Sevillana de Ciencias, 2003)
El desarrollo de técncias que permitan clasificar entes (seres vivos, elementos, problemas, ... ) en distintas categorías ha sido recurrente en diversas ramas del saber. La creación y difusión de grandes bases de datos y ...
Inferring efficient weights from pairwise comparison matrices [Article]
Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, reflecting their relative importance.One of the most popular ways to infer such weights is the ...
Máquinas de vector de apoyo: problemas de programación matemática en clasificación [Article]
(Sociedad de Estadística e Investigación Operativa, 2005-06)