MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Localized boosting (2000) [10 citations — 3 self]

Download:
Download as a PDF | Download as a PS
by Ron Meir, Ran El-yaniv, Shai Ben-david
in Proceedings of the 13th Annual Conference on Computational Learning Theory
http://www.cs.technion.ac.il/~rani/papers/Colt2000_final.ps
Add To MetaCart

Abstract:

We introduce and analyze LocBoost, a new boosting algorithm, which leads to the incremental construction of a mixture of experts type architecture. We provide upper bounds on the expected loss of such models in terms of the smoothness properties of the gating functions appearing in the mixture of experts model. Furthermore, an incremental algorithm is proposed for the construction of the classifier, based on a maximum-likelihood approach and the EM algorithm. Preliminary numerical results appear to be promising. 1

Citations

5825 Introduction to Algorithms – Cormen, Leiserson, et al. - 2001
4344 Maximum likelihood from incomplete data via the EM algorithm – Dempster, Laird, et al. - 1977
1004 Experiments with a new boosting algorithm – Schapire - 1996
593 Hierarchical Mixtures of Experts and the EM algorithm – Jordan, Jacobs - 1993
573 A Probabilistic Theory of Pattern Recognition – Devroye, Gyorfi, et al. - 1996
543 Additive logistic regression: a statistical view of boosting – Friedman, Hastie, et al.
483 Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods – Schapire, Freund, et al. - 1997
389 Improved boosting algorithms using confidence-rated predictions – Schapire, Singer - 1998
194 Neural Network Learning: Theoretical Foundations – ANTHONY, BARTLETT - 1999
105 Functional gradient techniques for combining hypotheses – Mason, Baxter, et al. - 1999
70 Perceptron-Based Learning Algorithms – Gallant - 1990
60 Arcing the edge – Breiman - 1997
55 Improved generalization through explicit optimization of margins. Machine Learning 38(3):243–255 – Mason, Bartlett, et al. - 2000
21 Estimation of Mixture Models – Li - 1999
19 Regularizing adaboost – Rätsch, Onoda, et al. - 1998
15 A simple cost function for boosting – Frean, Downs - 1998
14 Minimax nonparametric classification - Part I: rates of convergence – Yang - 1999
5 Matching pursuit with time-frequencey dictionaries – Mallat, Zhang - 1993
5 DynamBoost: combining boosted hypotheses in a dynamic way – Moerland, Mayoraz - 1999
4 Boosting classifiers locally – Maclin - 1998
4 Theory of Statistics – Schervich - 1995