Adaboost

Versione 1.0.0.0 (3,09 KB) da Mo Chen
Adaboost for classification
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Aggiornato 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).

Cita come

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

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Creato con R2016a
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Versione Pubblicato Note della release
1.0.0.0