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SDM
2010
SIAM
13 years 8 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 3 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 11 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 ...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...