About this document

Boosting: Foundations and Algorithms by LU LIU is a document available to read on EtoBox.

This document discusses boosting and the AdaBoost algorithm. It defines weak learnability and explains the key ideas behind boosting, which are to use a weak learner to create a strong learner by combining base classifiers returned by the weak learner. AdaBoost is then presented, which iteratively adjusts weights on training examples based on whether they are correctly or incorrectly classified to focus on harder examples. The document proves a bound on AdaBoost

Author

LU LIU

Language

EN