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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 propose, for multi-group classification, a biobjective optimization model in which we consider not only ...
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A cost-sensitive constrained Lasso
(Springer, 2020-03-02)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. Although the Lasso formulations are stated so that overall prediction error is optimized, no full ...
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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 of distances to it from all the misclassified data points, where misclassification means lying on ...
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Deriving Weights in Multiple-Criteria Decision Making with Support Vector Machines
(Springer, 2006-01-01)
A key problem in Multiple-Criteria Decision Making is how to measure the importance of the different criteria when just a partial preference relation among actions is given. In this note we address the problem of ...
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Efficiency in Euclidean constrained location problems
(ELSEVIER SCIENCE BV, 1993-01-01)
In this note we present geometrical characterizations for the set of efficient, weakly efficient and properly efficient solutions to the multiobjective Euclidean Location problem with convex locational constraints, extending ...
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Optimal location and design of a competitive facility
(Springer, 2004-06)
A single facility has to be located in competition with fixed existing facilities of similar type. Demand is supposed to be concentrated at a finite number of points, and consumers patronise the facility to which they are ...
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A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems
(Elsevier, 2015-05)
A heuristic method for optimizing a solar power tower system is proposed, in which both heliostat field (heliostat locations and number) and the tower (tower height and receiver size) are simultaneously considered. Maximizing ...
Artículo
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New heuristic for harmonic means clustering
(Springer, 2014-05-06)
It is well known that some local search heuristics for K-clustering problems, such as k-means heuristic for minimum sum-of-squares clustering occasionally stop at a solution with a smaller number of clusters than the ...
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Strongly agree or strongly disagree? Rating features in support vector machines
(Elsevier, 2016-02)
In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are assigned to classes based on the linear combination of the scores and the values of the features. ...
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Optimisation of aiming strategies in Solar Power Tower plants
(PERGAMON-ELSEVIER SCIENCE LTD, 2017-10-15)
The distribution of temperature on a Solar Power Tower (SPT) plant receiver directly affects the lifespan of the structure and energy generated by the plant. Temperature peaks and uneven distributions can be caused by the ...