Constraint Propagation for Efficient Inference in Markov Logic.
Tivadar PapaiParag SinglaHenry A. KautzPublished in: CP (2011)
Keyphrases
- constraint propagation
- markov networks
- probabilistic graphical models
- exact inference
- graphical models
- approximate inference
- constraint satisfaction problems
- maximum likelihood
- probabilistic inference
- factor graphs
- constraint satisfaction
- first order logic
- conditional random fields
- hidden variables
- bayesian inference
- belief propagation
- constraint programming
- maximum margin
- probabilistic model
- structured prediction
- structure learning
- posterior probability
- bayesian networks
- latent variables
- linear programming
- markov random field
- search space
- conditional probabilities
- belief networks
- optimal solution
- document classification
- approximation algorithms