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Topic :: Machine Learning :: Regularized and Shrinkage Methods [Remove This Filter]
Programming Language :: C/C++ [Remove This Filter]
Natural Language :: English [Remove This Filter]
3 projects in result set.
0. Sparsity by Quadratic Penalties - This package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection).
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- Natural Language : English (Now Filtering)
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- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Multivariate Statistics : Linear Models [Filter]
- Topic : Regression Models [Filter]
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Registered: 2013-03-21 09:55 |
1. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : Python [Filter]
- Programming Language : R [Filter]
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
2. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models.
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- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2010-08-05 07:40 |
