http://www.site.uottawa.ca/~stan/csi5387/boost-tut-ppr.pdf
Boosting is a general method for improving the accuracy of any given learning algorithm.
This short overview paper introduces the boosting algorithm AdaBoost, and explains the un-
derlying theory of boosting, including an explanation of why boosting often does not suffer
from overfitting as well as boosting’s relationship to support-vector machines. Some examples
of recent applications of boosting are also described.