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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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3 projects in result set.

0. 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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Registered: 2010-12-28 07:13

1. Mixed-pair mutual information estimators - Fast calculation mutual information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Also provides jackknife bias correction and tests for association.

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Registered: 2012-08-10 08:48

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.

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Registered: 2014-05-26 16:09