MATLAB Implementation of Adaboost_M1 Algorithm
A MATLAB implementation of the Adaboost_M1 algorithm designed for bundling multiple classifiers, representing a fundamental Boosting approach in machine learning
Explore MATLAB source code curated for "boosting" with clean implementations, documentation, and examples.
A MATLAB implementation of the Adaboost_M1 algorithm designed for bundling multiple classifiers, representing a fundamental Boosting approach in machine learning
GentleBoost - A popular machine learning algorithm variant that iteratively combines weak classifiers into a strong classifier, widely applied in computer vision and NLP with robust implementation characteristics.
Boosting Classification Algorithm Program - Implementation and Technical Overview