Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories.
Rodrigo de Salvo BrazCiaran O'ReillyPublished in: UAI (2017)
Keyphrases
- probabilistic inference
- graphical models
- exact inference
- approximate inference
- probabilistic graphical models
- belief propagation
- bayesian networks
- random variables
- probabilistic model
- influence diagrams
- weighted model counting
- belief networks
- markov networks
- factor graphs
- structure learning
- conditional random fields
- loopy belief propagation
- message passing
- conditional independence
- junction tree
- dynamic bayesian networks
- variational methods
- probability distribution