AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the prestigious "Gödel Prize" in 2003 for their work.It can be used in conjunction with many other types of learning algorithms to improve their performance.

The following matlab project contains the source code and matlab examples used for adaboost.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

## Project Files:

Adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire in matlab

Classic adaboost classifier in matlab

Multiclass gentleadaboosting in matlab

Boosting demo in matlab

Rusboost is a boosting-based sampling algorithm that handles class imbalance in class labeled data. in matlab

Ensemble methods in matlab

Implementation of smoteboost algorithm used to handle class imbalance problem in data. in matlab

Local binary patterns in matlab

Matlab weka interface in matlab