Novel hybrid feature selection algorithms for diagnosing erythemato-squamous diseases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7231 LNCS, Issue , 2012, Pages 173-185

  Xie, Juanying ^a,b   Lei, Jinhu ^a   Xie, Weixin ^b,c   Gao, Xinbo ^b   Shi, Yong ^d   Liu, Xiaohui ^e  

^a SHAANXI NORMAL UNIVERSITY   (China)

^b XIDIAN UNIVERSITY   (China)

^c SHENZHEN UNIVERSITY   (China)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Erythemato squamous Diseases; Feature Selection; generalized F score; Sequential Backward Floating Search; Sequential Forward Floating Search; Sequential Forward Search; Support Vector Machines

Indexed keywords

ERYTHEMATO-SQUAMOUS DISEASE; F-SCORE; SEQUENTIAL BACKWARD FLOATING SEARCH; SEQUENTIAL FORWARD FLOATING SEARCH; SEQUENTIAL FORWARD SEARCH; SUPPORT VECTOR MACHINE (SVM);

ALGORITHMS; FEATURE EXTRACTION; INFORMATION SCIENCE; SUPPORT VECTOR MACHINES;

DIAGNOSIS;

EID: 84859621938     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29361-0_21     Document Type: Conference Paper

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