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5 projects in result set.
0. Learn user preferences - Active machine learning methods are used to guess user intent in interactive R sessions, leading to more sensible, user-specific defaults for various functions.
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Registered: 2010-11-26 16:34 |
1. Dynamic Time Warp - Comprehensive implementation of Dynamic Time Warping algorithms in R. Supports arbitrary local (eg symmetric, asymmetric, slope-limited) and global (windowing) constraints, fast native code, several plot styles, and more.
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2007-11-29 18:01 |
2. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.
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- Development Status : 4 - Beta [Filter]
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Registered: 2010-12-28 07:13 |
3. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time.
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Registered: 2014-05-26 16:09 |
4. ElemStatLearn - Data sets, functions and examples from the book: "The Elements
of Statistical Learning, Data Mining, Inference, and
Prediction" by Trevor Hastie, Robert Tibshirani and Jerome
Friedman.
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Registered: 2010-02-10 01:05 |
