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.
Cite
Text
Benbouzid et al. "MULTIBOOST: A Multi-Purpose Boosting Package." Machine Learning Open Source Software, 2012.Markdown
[Benbouzid et al. "MULTIBOOST: A Multi-Purpose Boosting Package." Machine Learning Open Source Software, 2012.](https://mlanthology.org/mloss/2012/benbouzid2012jmlr-multiboost/)BibTeX
@article{benbouzid2012jmlr-multiboost,
title = {{MULTIBOOST: A Multi-Purpose Boosting Package}},
author = {Benbouzid, Djalel and Busa-Fekete, Róbert and Casagrande, Norman and Collin, François-David and Kégl, Balázs},
journal = {Machine Learning Open Source Software},
year = {2012},
pages = {549-553},
volume = {13},
url = {https://mlanthology.org/mloss/2012/benbouzid2012jmlr-multiboost/}
}