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Programming Language :: R [Remove This Filter]
Topic :: Machine Learning :: Model Selection and Validation [Remove This Filter]
Environment :: Other Environment [Remove This Filter]
2 projects in result set.
0. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448 |
- Development Status : 1 - Planning [Filter]
- Environment : Other Environment (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Multivariate Statistics : Projection Methods [Filter]
- Topic : Regression Models [Filter]
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Activity Percentile: 0.00
Registered: 2009-10-08 14:16 |
1. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Other Environment (Now Filtering)
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Activity Percentile: 0.00
Registered: 2011-06-17 13:35 |