Abstracting Markov Networks.
Lorenza SaittaChristel VrainZhaohui WuLu JiangQinghua ZhengJun LiuPublished in: Abstraction, Reformulation, and Approximation (2010)
Keyphrases
- markov networks
- graphical models
- maximum likelihood
- belief propagation
- first order logic
- probabilistic graphical models
- maximum margin
- bayesian inference
- bayesian networks
- conditional random fields
- probabilistic model
- markov random field
- hidden variables
- structure learning
- conditional probabilities
- posterior probability
- document classification
- statistical relational learning
- pairwise
- inductive logic programming
- maximum a posteriori
- markov logic
- parameter estimation
- expectation maximization
- probability distribution
- dynamic programming
- markov logic networks
- domain knowledge