Open Access
An asymptotical Analysis and Improvement of AdaBoost in the binary classification case
Takashi Onoda,Gunnar Rätsch,Klaus-Robert Müller +2 more
- Vol. 15, Iss: 2, pp 287-296
Reads0
Chats0
About:
The article was published on 2000-01-01 and is currently open access. It has received 1 citations till now. The article focuses on the topics: AdaBoost & Binary classification.read more
Citations
More filters
Journal ArticleDOI
Soft Margins for AdaBoost
TL;DR: It is found that ADABOOST asymptotically achieves a hard margin distribution, i.e. the algorithm concentrates its resources on a few hard-to-learn patterns that are interestingly very similar to Support Vectors.