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» Parallelizing Feature Selection
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PRL
2008
81views more  PRL 2008»
14 years 10 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
PAMI
2006
215views more  PAMI 2006»
14 years 9 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
JMLR
2010
182views more  JMLR 2010»
14 years 4 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
TCSV
2010
14 years 4 months ago
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
Mohand Saïd Allili, Djemel Ziou, Nizar Bougui...
INFORMS
1998
100views more  INFORMS 1998»
14 years 9 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...