Description
We introduce bagging and boosting algorithms. We discuss the bias-variance tradeoff. The gradient descent view of boosting is introduced and a bound on the performance of Adaboost is proved.Slides
Slides for this lecture: PS,PDFSuggested Reading
- Yoav Freund and Robert E. Schapire. A short introduction to boosting. Journal of Japanese Society for Artificial Intelligence, 14(5):771-780, September, 1999
- Other boosting review articles here