On the dynamics of boosting

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Rudin, Cynthia ^a   Daubechies, Ingrid ^a   Schapire, Robert E ^b  

^a PRINCETON UNIVERSITY   (United States)

^b Princeton University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DYNAMICAL SYSTEMS;

BOOSTING ALGORITHM; COMBINED CLASSIFIERS; COORDINATE ASCENT; COORDINATE DESCENT METHODS; DIFFERENTIABLE FUNCTIONS; ITERATED MAPS; MAXIMUM MARGIN; STABLE CYCLES;

ADAPTIVE BOOSTING;

EID: 9444247113     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Robert E. Schapire. A brief introduction to boosting. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
2. Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651-1686, October 1998.
3. Gunnar R̈atsch and Manfred Warmuth. Maximizing the margin with boosting. In Proceedings of the 15th Annual Conference on Computational Learning Theory, pages 334-350, 2002.
4. Gunnar R̈atsch and Manfred Warmuth. Efficient margin maximizing with boosting. Journal of Machine Learning Research, submitted 2002.
5. Leo Breiman. Prediction games and arcing classifiers. Neural Computation, 11(7):1493-1517, 1999.
6. Michael Collins, Robert E. Schapire, and Yoram Singer. Logistic regression, AdaBoost and Bregman distances. Machine Learning, 48(1/2/3), 2002.
7. Saharon Rosset, Ji Zhu, and Trevor Hastie. Boosting as a regularized path to a maximum margin classifier. Technical report, Department of Statistics, Stanford University, 2003.