Incremental Inference on Higher-Order Probabilistic Graphical Models Applied to Constraint Satisfaction Problems.
Simon StreicherPublished in: CoRR (2022)
Keyphrases
- constraint satisfaction problems
- probabilistic graphical models
- higher order
- constraint satisfaction
- graphical models
- constraint propagation
- constraint programming
- markov logic
- probabilistic inference
- bayesian networks
- np complete
- arc consistency
- non binary
- belief propagation
- parameter learning
- np hard
- search space
- belief networks
- latent variables
- genetic algorithm
- conditional random fields
- exact inference
- pairwise
- markov logic networks
- knowledge base