Section: Software and Platforms

MultiBoost

Participants : Balázs Kégl [correspondent] , Djalel Benbouzid.

Keywords: Multi-class, Multi-label Classification.

The MultiBoost package [68] 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, Arc-GV , 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.

Link: http://multiboost.org