Section: New Software and Platforms

MultiBoost

Participant : Balázs Kégl [correspondent] .

Keywords: Multi-class, Multi-label Classification.

The MultiBoost package [63] 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