Selecting features from multiple feature sets for SVM committee-based screening of human larynx

Expert Systems with Applications

Volumn 37, Issue 10, 2010, Pages 6957-6962

  Verikas, A ^a,b   Gelzinis, A ^a   Kovalenko, M ^a   Bacauskiene, M ^a  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b HALMSTAD UNIVERSITY   (Sweden)

Author keywords

Classification committee; Genetic search; Human larynx; Support vector machine; Variable selection

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; DESIGNING PROCESS; GENETIC SEARCH; HUMAN LARYNXES; MULTIPLE FEATURES; THREE-CLASS CLASSIFICATION; TWO STAGE PROCEDURE; VARIABLE SELECTION;

CLASSIFICATION (OF INFORMATION);

EID: 79551514093     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.03.025     Document Type: Article

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