Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms

Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002

Volumn 1, Issue , 2002, Pages 187-192

  Land Jr , Walker H ^a   Bryden, Margaret ^a   Lo, Joseph Y ^b   McKee, Daniel W ^a   Anderson, Frances R ^c  

^a State University of New York at Binghamton   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c Our Lady of Lourdes Memorial Hospital Inc   (United States)

Author keywords

Adaptive Boosting; Computer Aided Diagnosis; Emergent Computing; Evolutionary programming; Machine Learning; Neural Network Hybrids; Support Vector Machines

Indexed keywords

ADAPTIVE BOOSTING; ARTIFICIAL INTELLIGENCE; CALCULATIONS; COMPUTER AIDED DIAGNOSIS; COMPUTER PROGRAMMING; DISEASES; EVOLUTIONARY ALGORITHMS; GLOBAL OPTIMIZATION; LEARNING SYSTEMS;

BREAST CANCER CLASSIFICATIONS; BREAST CANCER DETECTION; EMERGENT COMPUTING; HIGH-DIMENSIONAL FEATURE SPACE; PATTERN CLASSIFIER; PERFORMANCE TRADE-OFF; POSITIVE PREDICTIVE VALUES; SUPPORT VECTOR MACHINE (SVMS);

SUPPORT VECTOR MACHINES;

EID: 29144443323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1006231     Document Type: Conference Paper

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