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Volumn , Issue , 2010, Pages 213-218

Using a reinforcement-based feature selection method in Classifier Ensemble

Author keywords

Classifier ensembles; Feature selection

Indexed keywords

CLASSIFICATION METHODS; CLASSIFIER ENSEMBLES; DATA SETS; ENSEMBLE SYSTEMS; FEATURE SELECTION; FEATURE SELECTION METHODS; INDIVIDUAL CLASSIFIERS;

EID: 78650165996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIS.2010.5600015     Document Type: Conference Paper
Times cited : (4)

References (13)
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  • 3
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    • A Canuto, M Abreu, L Oliveira, J Xavier Junior and A Santos. Investigating the Influence of the Choice of the Ensemble Members in Accuracy and Diversity of Selection-based and Fusion-based Methods for Ensembles. Patt Rec Letters, 28(4), 472-486, 2007. (Pubitemid 44918135)
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  • 5
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    • A first study on the use of coevolutionary algorithms for instance and feature selection
    • 4th Int Conf of Hybrid Art Int Systems (HAIS)
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  • 6
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    • Jensen, R.1    Shen, Q.2
  • 9
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    • Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
    • S. Monti, P. Tamayo, J. Mesirov, and T. Golub. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Machine Learning, vol.52:91-118, 2003.
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    • On the consistency of feature selection using greedy least squares regression
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    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.