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Topic > Machine Learning

Bayesian Methods (3 project)
Boosting (7 project)
Genetic Algorithms (2 project)
Model Selection and Validation (9 project)
Neural Networks (2 project)
Random Forests (3 project)
Recursive Partitioning (7 project)
Regularized and Shrinkage Methods (11 project)
Support Vector Machines (1 project)

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6 projects in result set.

0. 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.

Development Status : 5 - Production/Stable [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
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Topic : Datasets [Filter]
Topic : Machine Learning [Filter]

Activity Percentile: 0.00

Registered: 2010-02-10 01:05

1. 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.

Development Status : 1 - Planning [Filter]
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Topic : Machine Learning [Filter]

Registered: 2010-11-26 16:34

2. 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.

Development Status : 4 - Beta [Filter]
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Topic : Machine Learning [Filter]
Topic : Spatial Data & Statistics : Ecological Analysis [Filter]

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Registered: 2014-05-26 16:09

3. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.

Development Status : 4 - Beta [Filter]
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Topic : Graphical Models [Filter]
Topic : Machine Learning [Filter]

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Registered: 2010-12-28 07:13

4. soRvi - avoimen datan työkalupakki - soRvi on avoimen datan työkalupakki, joka tarjoaa laskennallisia välineitä avointen rajapintojen kautta saatavien tietoaineistojen hakuun, siivoamiseen, yhdistelyyn, louhintaan ja visualisointiin tukien erityisesti suomalaista avoimen datan yhteisöä.

Development Status : 3 - Alpha [Filter]
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Topic : Database : R Interfaces [Filter]
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Registered: 2011-10-07 15:24

5. 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.

Development Status : 5 - Production/Stable [Filter]
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Topic : Machine Learning [Filter]
Topic : Time Series [Filter]

Registered: 2007-11-29 18:01