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++
Other Useful Business Software
Train ML Models With SQL You Already Know
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Mocapy++!