Explore MATLAB source code curated for "adaboost" with clean implementations, documentation, and examples.
AdaBoost, Adaptive Boosting, is a renowned meta-machine learning algorithm proposed by Yoav Freund and Robert Schapire. This project contains two primary components: implementation source code and dataset files for practical experimentation.
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Implementation of a boosted linear threshold classifier using AdaBoost ensemble method with code integration insights
Implementing Face Detection with AdaBoost Algorithm and Code Implementation Details
Implementation of the Adaboost algorithm that combines multiple weak classifiers to form a robust strong classifier through iterative weight adjustment and weighted voting mechanisms.
A Concise Explanation of the Adaboost Algorithm with Implementation Insights
A fundamental AdaBoost algorithm implementation source code in MATLAB with comprehensive technical explanations
ADABOOST Algorithm for Image Data Classification with Implementation Insights