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