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- Description:
Boosting Methods for Real and Simulated Data: Contains a collection of boosting methods, these are 'BagBoost', 'LogitBoost', 'AdaBoost' and 'L2Boost', along with feature preselection by the Wilcoxon test statistic. Moreover, methods for the simulation of data according to correlation and mean structures of existing real datasets are included.
- Changes to previous version:
Fetched by r-cran-robot on 2009-06-24 07:16:09.478727
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Data Formats: None
- Tags: R-Cran
- Archive: download here
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