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.
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