MultiBoost swMATH ID: 8498 Software Authors: Benbouzid, Djalel; Busa-Fekete, Róbert; Casagrande, Norman; Collin, François-David; Kégl, Balázs Description: MultiBoost: a multi-purpose boosting package. 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. Homepage: http://dl.acm.org/citation.cfm?id=2188403 Keywords: boosting; {sc Ada}{sc Boost}.MH; {sc Filter}{sc Boost}; cascade classifier Related Software: AdaBoost.MH; C4.5 Cited in: 3 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year MultiBoost: a multi-purpose boosting package. Zbl 1283.68281Benbouzid, Djalel; Busa-Fekete, Róbert; Casagrande, Norman; Collin, François-David; Kégl, Balázs 2012 all top 5 Cited by 8 Authors 3 Busa-Fekete, Róbert 2 Kégl, Balázs 1 Benbouzid, Djalel 1 Casagrande, Norman 1 Collin, François-David 1 Éltető, Tamás 1 Gosztolya, Gábor 1 Szarvas, György Cited in 3 Serials 1 Machine Learning 1 Soft Computing 1 Journal of Machine Learning Research (JMLR) Cited in 1 Field 3 Computer science (68-XX) Citations by Year