Submodular decomposition framework for inference in associative Markov networks with global constraints.
Anton OsokinDmitry P. VetrovVladimir KolmogorovPublished in: CVPR (2011)
Keyphrases
- probabilistic graphical models
- markov logic networks
- markov networks
- graphical models
- markov logic
- global constraints
- first order logic
- probabilistic model
- belief propagation
- bayesian inference
- bayesian networks
- maximum likelihood
- probabilistic inference
- conditional random fields
- structured prediction
- collective classification
- document classification
- energy minimization
- inductive logic programming
- constraint programming
- higher order
- semi supervised
- objective function