maboost (version 1.0-0)

Binary and Multiclass Boosting Algorithms

Description

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 http://arxiv.org/abs/1409.7202

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Install

install.packages('maboost')

Monthly Downloads

28

Version

1.0-0

License

GPL (>= 2)

Maintainer

Last Published

November 25th, 2014

Functions in maboost (1.0-0)