About Mocapy++
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...
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:
Previous Versions
Here you can find the changelog of Mocapy++ since it was posted on our website on 2015-04-26 03:00:00.
The latest version is 1.07 and it was updated on 2024-04-22 16:07:32. See below the changes in each version.
Mocapy++ version files
Updated At: 2010-07-01
Changes: Several fixes and updates
Mocapy++ version
Updated At: 2010-07-01
Disclaimer
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