AdaBoost
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AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
Cite As
Cuneyt Mertayak (2024). AdaBoost (https://www.mathworks.com/matlabcentral/fileexchange/21317-adaboost), MATLAB Central File Exchange. Retrieved .
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adaboost/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |