Abstract
Boosting is a method for combining multiple classifiers to improve the accuracy. We explain the general approach, the most popular algorithm, adaboost, and other approaches to boosting.
It's a multi-part series in which I am planning to cover the following:
- What is Boosting?
- Weak Learning
- Adaboost
- Other Boosting Algorithms
- Boosting Applications
- Why Boosting Works?