Increased classification accuracy and speedup through pair-wise feature selection for support vector machines

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

Volumn , Issue , 2011, Pages 318-324

  Kramer, Kurt ^a   Goldgof, Dmitry B ^a   Hall, Lawrence O ^a   Remsen, Andrew ^b  

^a University of South Florida   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Feature Selection; Pair wise; Plankton; Support Vector Machines; SVM; Wrappers

Indexed keywords

PAIR-WISE; PLANKTON; SUPPORT VECTOR; SVM; WRAPPERS;

ARTIFICIAL INTELLIGENCE; DATA MINING; SUPPORT VECTOR MACHINES; VECTORS;

FEATURE EXTRACTION;

EID: 79961183923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2011.5949457     Document Type: Conference Paper

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