Adaboost

Versión 1.0.0.0 (3,09 KB) por Mo Chen
Adaboost for classification
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Actualizado 9 mar 2016

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This is a Matlab implementation of Adaboost for binary classification. The weak learner is kmeans. The reason why this weaker learner is used is that this is the one of simplest learner that works for both discrete and continues data. I make the code very succinct so that it is easy to read and learn how Adaboost works.
This package is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

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Mo Chen (2024). Adaboost (https://www.mathworks.com/matlabcentral/fileexchange/55880-adaboost), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016a
Compatible con cualquier versión
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Inspirado por: Pattern Recognition and Machine Learning Toolbox

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Versión Publicado Notas de la versión
1.0.0.0