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Now limiting view to projects in the following categories:
Topic :: Machine Learning :: Model Selection and Validation [Remove This Filter]
3 projects in result set.
0. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Activity Percentile: 0.00
Registered: 2010-08-05 07:40 |
1. 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. |
- 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 (Now Filtering)
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- 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 |
2. CoxFlexBoost - CoxFlexBoost:
likelihood-based boosting approach to fit structured Cox-type survival models with linear, smooth and (linear/smooth) time-varying effects.
By applying a component-wise boosting approach variable selection and model choice are possible. |
- Development Status : 4 - Beta [Filter]
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Boosting [Filter]
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
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Registered: 2008-10-30 14:30 |