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ICML
2001
IEEE

Some Theoretical Aspects of Boosting in the Presence of Noisy Data

10 years 4 months ago
Some Theoretical Aspects of Boosting in the Presence of Noisy Data
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include J99 and J00a,b,c,d , which is a set of mutually overlapping papers concerning the assumption of weak hypotheses, behavior of generalization error in the large time limit and during the process of boosting, comparison to the optimal Bayes error in noisy situations, over tting, and regularization.
Wenxin Jiang
Added 17 Nov 2009
Updated 17 Nov 2009
Type Conference
Year 2001
Where ICML
Authors Wenxin Jiang
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