Saliency analysis of support vector machines for feature selection

Neural Network World

Volumn 11, Issue 2, 2001, Pages 153-166

  Tay, F E H ^a   Cao, L J ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Feature selection; Saliency analysis; Structural risk minimization principle; Support vector machines

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; OPTIMIZATION; REGRESSION ANALYSIS; VECTORS;

STRUCTURAL RISK MINIMIZATION PRINCIPLE; SUPPORT VECTOR MACHINES (SVM);

NEURAL NETWORKS;

EID: 0034964857     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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