2012
JMLR
JMLR 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. [abs] [ pdf ][ bib ] [ code ] © JMLR 2012. (edit, beta)
🐣
Hot Topic Early Bird
- multi-class classification