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- Description:
Model-Based Boosting: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
- Changes to previous version:
Fetched by r-cran-robot on 2012-09-01 00:00:06.896704
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Tags: R-Cran
- Archive: download here
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