Resource Type:
Project
Code
License:
GNU Library or Lesser General Public License version 2.0 (LGPLv2)
Language:
C++
Data Format:
Description
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. Dynamic Bayesian Network toolkit, Stochastic EM, Gibbs sampling, Directional statistics
Categorized in: Machine Learning | Statistical Learning Methods | Representation and Reasoning | Bayesian Inference
Post comment
Cancel