MULTIBOOST: A Multi-purpose Boosting Package
نویسندگان
چکیده
The MULTIBOOST package provides a fast C++ implementation of multi-class/multi-label/multitask 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.
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ورودعنوان ژورنال:
- Journal of Machine Learning Research
دوره 13 شماره
صفحات -
تاریخ انتشار 2012