A generic framework for a compilation-based inference in probabilistic and possibilistic networks.
Raouia AyachiNahla Ben AmorSalem BenferhatPublished in: Inf. Sci. (2014)
Keyphrases
- possibilistic networks
- inference process
- causal networks
- graphical models
- possibility theory
- bayesian networks
- incomplete information
- causal relations
- belief networks
- bayesian inference
- probabilistic reasoning
- probabilistic model
- probability theory
- probabilistic inference
- probabilistic networks
- generative model
- bayesian methods
- programming language
- structure learning
- exact inference
- causal relationships
- approximate inference