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ICML
2001
IEEE
16 years 4 months ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das
ICIC
2005
Springer
15 years 8 months ago
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes
Abstract. An orthogonal forward selection (OFS) algorithm based on the leaveone-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tu...
Sheng Chen, Xia Hong, Chris J. Harris
126
Voted
ICML
1996
IEEE
16 years 4 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami
ICANN
2007
Springer
15 years 9 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
BIRD
2008
Springer
110views Bioinformatics» more  BIRD 2008»
15 years 5 months ago
SVM-Based Local Search for Gene Selection and Classification of Microarray Data
Abstract. This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighte...
Jose Crispin Hernandez Hernandez, Béatrice ...