About UnBBayes
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN,...
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning.
Please, visit our wiki () for more information. Check out the license section () for our licensing policy.
Features
- Bayes Net (or Bayesian network)
- Influence Diagrams (or Decision Graphs)
- MSBN (Multiple-Sectioned Bayesian Network)
- OOBN (Object-Oriented Bayesian Network)
- MEBN (Multi-Entity Bayesian Network)
- PR-OWL (Probabilistic Web Ontology Language)
- PR-OWL 2
- UMP-ST (Uncertainty Modeling Process for Semantic Technologies)
- Parameter and Structure Learning
- Sampling and Simulation (e.g. Monte Carlo, Gibbs)
- Metaphor
- Approximate Inference
- Data Mining
- Noisy-Max distribution
- PRM (Probabilistic Relational Model)
- MLN (Markov Logic Network)
- Plug-in Support
Previous Versions
Here you can find the changelog of UnBBayes since it was posted on our website on 2015-04-28 03:00:00.
The latest version is 4.22 and it was updated on 2024-04-22 16:19:12. See below the changes in each version.
UnBBayes version 4.22
Updated At: 2020-03-21
UnBBayes version 4.0.0
Updated At: 2010-03-23
Changes: Several fixes and updates
Disclaimer
External Download
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