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:

  1. What is Boosting?
  2. Weak Learning
  3. Adaboost
  4. Other Boosting Algorithms
  5. Boosting Applications
  6. Why Boosting Works?

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