Multiboost: a multi-purpose boosting package

D. Benbouzid 1 R. Busa-Fekete 2 N. Casagrande F.-D. Collin B. Kégl 2, 3, 4
1 Appstat
LAL - Laboratoire de l'Accélérateur Linéaire, LRI - Laboratoire de Recherche en Informatique
4 TAO - Machine Learning and Optimisation
INRIA Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, CNRS : UMR8623, LRI - Laboratoire de Recherche en Informatique
Abstract : The MultiBoost package provides a fast C++ implementation of multi-class/multi-label/multi-task boosting algorithms. It is based on AdaBoost.MH but it also implements popular cascade classifiers and FilterBoost. The package contains common multi-class base learners (stumps, trees, products, Haar filters). Further base learners and strong learners following the boosting paradigm can be easily implemented in a flexible framework.
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Journal articles
Journal of Machine Learning Research, Microtome Publishing, 2012, 13, pp.549-553


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Submitted on : Monday, May 21, 2012 - 4:39:51 PM
Last modification on : Wednesday, July 29, 2015 - 1:18:48 AM

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D. Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, B. Kégl. Multiboost: a multi-purpose boosting package. Journal of Machine Learning Research, Microtome Publishing, 2012, 13, pp.549-553. <in2p3-00698455>

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