A pattern classification approach for boosting with genetic algorithms

22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings

Volumn , Issue , 2007, Pages 250-255

  Yalabik, Ismet ^a   Yarman Vural, Fatoş T ^a   Üçoluk, Göktürk ^a   Şehitoǧlu, Onur Tolga ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; CLASSIFIERS; COMMUNICATION; CYBERNETICS; DIESEL ENGINES; EDUCATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; INFORMATION MANAGEMENT; INFORMATION SCIENCE; LEARNING SYSTEMS;

ADABOOST; ADABOOST ALGORITHMS; BOOSTING ALGORITHMS; EMPIRICAL RESULTS; ENSEMBLE LEARNING; EVOLUTIONARY COMPUTING; EVOLUTIONARY SEARCH; GREEDY SEARCH; HYPOTHESIS SPACE; INDIVIDUAL CLASSIFIERS; INTERNATIONAL SYMPOSIUM; MACHINE-LEARNING; PATTERN CLASSIFICATIONS; STATISTICAL CLASSIFIERS; SUB-OPTIMAL SOLUTIONS; VOTING METHODS;

CLASSIFICATION (OF INFORMATION);

EID: 48649091885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCIS.2007.4456870     Document Type: Conference Paper

References (12)

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