Combined weak classifiers

Advances in Neural Information Processing Systems

Volumn , Issue , 1997, Pages 494-500

  Ji, Chuanyi ^a   Ma, Sheng ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEM; GENERALIZATION PERFORMANCE; LEARNING METHODS; LINEAR CLASSIFIERS; RANDOMIZED ALGORITHMS; REAL APPLICATIONS; SYSTEMATIC EXPERIMENT; WEAK CLASSIFIERS;

EID: 0344042223     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. L. Breiman, "Bias, Variance and Arcing Classifiers," Technical Report, TR-460, Department of Statistics, University of California, Berkeley, April, 1996.
2. L. Breiman, "Pasting, Bites Together for Prediction in Large Data sets and On-Line," ftp.stat.berkeley.edu/users/breiman, 1996.
3. H. Drucker, R. Schapire and P. Simard, "Improving Performance in Neural Networks Using a Boosting Algorithm," Neural Information Processing Symposium, 42-49, 1993.
4. Y. Freund and R. Schapire, "A Decision-Theoretic Generalization of On-Line Learning and An Application to Boosting," http://www.research.att. com/orgs/ssr/people/yoavorschapire.
5. C. Ji and S. Ma, "Combinations of Weak Classifiers," IEEE Trans. Neural Networks, Special Issue on Neural Networks and Pattern Recognition, vol. 8, 32-42, Jan., 1997.
6. E.M. Kleinberg, "Stochastic Discrimination," Annals of Mathematics and Artificial Intelligence, vol.1, 207-239, 1990.
7. E.M. Kleinberg and T. Ho, "Pattern Recognition by Stochastic Modeling," Proceedings of the Third International Workshop on Frontiers in Handwriting Recognition, 175-183, Buffalo, May 1993.
8. R.E. Schapire, "The Strength of Weak Learnability," Machine Learning, vol. 5, 197-227, 1990.