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Topic :: Machine Learning :: Regularized and Shrinkage Methods [Remove This Filter]
2 projects in result set.
0. Sparse Multivariate Diffusions - Inference for discretely observed high dimensional diffusions given by SDEs with a sparse drift based on penalized loss function estimation and subsampling methods.
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- Development Status : 3 - Alpha [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Numerical Analysis : Prob\. Methods, Simulation and Stochastic Differential Equations [Filter]
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Activity Percentile: 0.00
Registered: 2010-07-05 09:50 |
1. Sparse group lasso [MOVED TO GITHUB] - Algorithms for solving sparse group lasso optimization problems. [MOVED TO GITHUB] https://github.com/vincent-dk
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- Development Status : 3 - Alpha [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
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Activity Percentile: 0.00
Registered: 2011-02-28 13:48 |
