A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines

Intelligent Data Analysis

Volumn 5, Issue 3, 2001, Pages 191-209

  Tay, Francis Eng Hock ^a   Cao, Li Juan ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

feature selection; genetic algorithm; saliency analysis; structural risk minimization principle; support vector machines

Indexed keywords

CHROMOSOMES; FINANCIAL DATA PROCESSING; GENETIC ALGORITHMS; REGRESSION ANALYSIS; RESEARCH LABORATORIES; RISK ASSESSMENT; SUPPORT VECTOR MACHINES; TIME SERIES;

FINANCIAL TIME SERIES; GENERALIZATION PERFORMANCE; NONLINEAR TIME SERIES; POPULATION GENETICS; REGRESSION ESTIMATION; SALIENCY ANALYSIS; SPARSE REPRESENTATION; STRUCTURAL RISK MINIMIZATION PRINCIPLE;

FEATURE EXTRACTION;

EID: 0003343651     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2001-5302     Document Type: Article

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