maboost: Binary and Multiclass Boosting Algorithms

Performs binary and multiclass boosting in maximum-margin, sparse, smooth and normal settings as described in "A Boosting Framework on Grounds of Online Learning" by T. Naghibi and B. Pfister, (2014). For further information regarding the algorithms, please refer to

Getting started

Package details

AuthorTofigh Naghibi
MaintainerTofigh Naghibi <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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maboost documentation built on May 2, 2019, 9:34 a.m.