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Journal Articles Journal of Machine Learning Research Year : 2012

Multiboost: a multi-purpose boosting package

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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Dates and versions

in2p3-00698455 , version 1 (21-05-2012)

Identifiers

  • HAL Id : in2p3-00698455 , version 1

Cite

D. Benbouzid, Róbert Busa-Fekete, N. Casagrande, F.-D. Collin, Balázs Kégl. Multiboost: a multi-purpose boosting package. Journal of Machine Learning Research, 2012, 13, pp.549-553. ⟨in2p3-00698455⟩
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