3647 search results - page 44 / 730 » Feature Selection for SVMs |
AAAI
2008
13 years 10 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
TNN
2010
13 years 2 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
ICDAR
2003
IEEE
14 years 1 months ago
2003
IEEE
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
AIA
2007
13 years 9 months ago
2007
Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the ...