This project is devoted to create an easy and convenient Matlab based toolbox for investigations of AdaBoost based machine learning algorithms.
GML AdaBoost Matlab Toolbox is set of matlab functions and classes implementing a family of classification algorithms, known as Boosting.
So far we have implemented 3 different boosting schemes: Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.
We have implemented a classification tree as a weak learner.
Alongside with 3 Boosting algorithms we also provide a class that should give you an easy way to make a crossvalidation test.
In 0.3 version of toolbox you can save constructed classifier to file and load it in your C++ application. C++ code for loading and using saved classifier is provided.
This toolbox was developed and implemented by Alexander Vezhnevets – an undergraduate student of Moscow State University. If you have any questions or suggestions, please mail me: firstname.lastname@example.org
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