Adaboost

Version 1.0.0.0 (3,09 ko) par Mo Chen
Adaboost for classification
5.0
(1)
659 téléchargements
Mise à jour 9 mars 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).

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2016a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Remerciements

Inspiré par : Pattern Recognition and Machine Learning Toolbox

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adaboost/

Version Publié le Notes de version
1.0.0.0