Hybrid DE-SVM approach for feature selection: Application to gene expression datasets

2009 2nd International Symposium on Logistics and Industrial Informatics, LINDI 2009

Volumn , Issue , 2009, Pages

  García Nieto, José ^a   Alba, Enrique ^a   Apolloni, Javier ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b UNIVERSIDAD NACIONAL DE SAN LUIS   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ANALYSIS; CLASSIFICATION RATES; COMPUTATIONAL INTELLIGENCE METHODS; DIFFERENTIAL EVOLUTION; FEATURE SELECTION; FEATURE SELECTION AND CLASSIFICATION; GENE EXPRESSION DATASETS; MICROARRAY DATA ANALYSIS; SUBSET SELECTION; SVM MODEL;

ARTIFICIAL INTELLIGENCE; BIOACTIVITY; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; GENE EXPRESSION;

SUPPORT VECTOR MACHINES;

EID: 70450014910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LINDI.2009.5258761     Document Type: Conference Paper

References (17)

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