Genetic algorithm based optimization for AdaBoost

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 1, Issue , 2008, Pages 1044-1047

  Dezhen, Zhang ^a   Kai, Yang ^a  

^a DALIAN UNIVERSITY   (China)

Author keywords

AdaBoost; Genetic algorithm; Strong classifier; Weak classifier

Indexed keywords

ADA-BOOST ALGORITHMS; ADABOOST; BENCHMARK DATUM; EFFICIENT ALGORITHMS; ENSEMBLE LEARNING; POST OPTIMIZATIONS; SEQUENTIAL FORWARD SEARCHES; STRONG CLASSIFIER; WEAK CLASSIFIER;

ADAPTIVE BOOSTING; CLASSIFIERS; COMPUTERS; GENETIC ALGORITHMS; QUALITY ASSURANCE; REDUNDANCY; SOFTWARE ENGINEERING;

LEARNING SYSTEMS;

EID: 61849147863     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.1040     Document Type: Conference Paper

References (7)

1. Y. Freund and R. E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, J. Comput. Syst. Sci., 1997, 55(1):119-139.
2. R. E. Schapire, The strength of weak learnability, Machine Learning, 1990, 5(2): 197-227.
3. Y. Freund, Boosting a weak learning algorithm by majority, Information and Computation, 1995, 121(2):256-285.
4. Zhang Z, Li S Z, Zhang H. Real-time multi-view face detection. Proceedings of Conference on Automatic Face and Gesture Recognition. Washington D. C., USA: IEEE Computer Society, 2002.149-154.
5. Zhou Z-H, WU J, Tang W. Ensembling neural networks: many could be better than all. Artificial Intelligence, 2002, 137(1-2): 239-263.
6. Newman, D. J. and Hettich, S. and Blake, C. L. and Merz, C. J. (1998). UCI Repository of machine learning databases. [http://www.ics.uci.edu/~mlearn/ MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
7. A. Vezhnevets, GML AdaBoost Matlab Toolbox [http://research. graphicon.ru/], Graphics and Media Laboratory, Computer Science Department, Moscow State University, Moscow, Russian Federation. 2006.