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 http://arxiv.org/abs/1409.7202
Version: |
1.0-0 |
Depends: |
R (≥ 2.10), rpart, C50 |
Published: |
2014-11-25 |
Author: |
Tofigh Naghibi |
Maintainer: |
Tofigh Naghibi <tofigh at gmail.com> |
BugReports: |
NA |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
NA |
NeedsCompilation: |
no |
CRAN checks: |
maboost results |
Downloads: