325 search results - page 7 / 65 » Quadratic Programming Feature Selection |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
MP
2002
14 years 9 months ago
2002
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
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CVIU
2011
14 years 1 months ago
2011
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
ESANN
2008
14 years 11 months ago
2008
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
JMLR
2010
14 years 4 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...