Software Map
Project Tree
Topic > Machine Learning > Model Selection and Validation |
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9 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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Activity Percentile: 0.00 Registered: 2010-07-05 09:50 |
1. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. | |
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Activity Percentile: 0.00 Registered: 2011-06-17 13:35 |
2. Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure. | |
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Activity Percentile: 0.00 Registered: 2016-03-07 02:31 |
3. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation. | |
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Activity Percentile: 0.00 Registered: 2018-08-31 21:23 |
4. Classification and Regression Training - The caret packages contain functions for tuning predictive models, pre-processing, variable importance and other tools related to machine learning and pattern recognition. Parallel processing versions of the main package are also included. | |
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Activity Percentile: 0.00 Registered: 2008-06-05 19:31 |
5. QSAR Data Sets - Molecular descriptors and outcomes for several public domain data sets | |
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Activity Percentile: 0.00 Registered: 2010-09-19 03:40 |
6. 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. | |
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Registered: 2008-10-30 14:30 |
7. 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 | |
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Activity Percentile: 0.00 Registered: 2009-10-08 14:16 |
8. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models. | |
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Activity Percentile: 0.00 Registered: 2010-08-05 07:40 |