New Liftable Classes for First-Order Probabilistic Inference.
Seyed Mehran KazemiAngelika KimmigGuy Van den BroeckDavid PoolePublished in: CoRR (2016)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- conditional probabilities
- context specific independence
- belief networks
- weighted model counting
- approximate inference
- influence diagrams
- probabilistic reasoning
- message passing
- bayesian belief networks
- efficient inference
- exact inference
- first order logic
- class labels
- higher order
- variable elimination
- probabilistic model
- bucket elimination
- data sets
- distributed systems
- domain knowledge