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Mocapy++ is a Dynamic Bayesian Network toolkit, implemented in C++. It supports discrete, multinomial, Gaussian, Kent, Von Mises and Poisson nodes. Inference and learning is done by Gibbs sampling/Stochastic-EM.
Features
- Dynamic Bayesian Network toolkit
- Stochastic EM
- Gibbs sampling
- Directional statistics
- Full text: http://www.biomedcentral.com/1471-2105/11/126
Categories
Artificial IntelligenceLicense
GNU Library or Lesser General Public License version 2.0 (LGPLv2)Follow Mocapy++
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