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       Topic :: Machine Learning :: Boosting [Remove This Filter]
2 projects in result set.
0. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.   | 
- Development Status : 5 - Production/Stable [Filter] 
 
- Intended Audience : Developers [Filter] 
 - Intended Audience : End Users/Desktop (Now Filtering) 
 
- License : OSI Approved : GNU General Public License (GPL) [Filter] 
 
- Natural Language : English [Filter] 
 
- Operating System : OS Independent (Now Filtering) 
 
- Programming Language : C/C\+\+ [Filter] 
 - Programming Language : R [Filter] 
 
- Topic : Machine Learning : Boosting (Now Filtering) 
 - Topic : Regression Models [Filter] 
 
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 Registered: 2009-06-02 16:27 | 
1. l2boost - Efficient boosting method using the l2-loss function with gradient descent along coordinate direction basis functions for linear regression.   | 
- Development Status : 4 - Beta [Filter] 
 
- Intended Audience : End Users/Desktop (Now Filtering) 
 - Intended Audience : Other Audience [Filter] 
 
- License : OSI Approved : GNU General Public License (GPL) [Filter] 
 
- Natural Language : English [Filter] 
 
- Operating System : OS Independent (Now Filtering) 
 
- Programming Language : R [Filter] 
 
- Topic : Machine Learning : Boosting (Now Filtering) 
 
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  Registered: 2012-05-01 11:39 |