The IBMAP approach for Markov networks structure learning
Federico SchlüterFacundo BrombergAlejandro EderaPublished in: CoRR (2013)
Keyphrases
- structure learning
- markov networks
- graphical models
- maximum likelihood
- first order logic
- belief propagation
- bayesian networks
- probabilistic graphical models
- parameter learning
- maximum margin
- markov logic networks
- probabilistic model
- bayesian inference
- conditional random fields
- bayesian network classifiers
- structured prediction
- posterior probability
- hidden variables
- document classification
- markov random field
- markov blanket
- conditional probabilities
- max margin
- statistical relational learning
- inductive logic programming
- approximate inference
- latent variables
- stereo matching
- random variables
- text categorization
- conditional independence tests
- machine learning
- prior information
- parameter estimation
- higher order
- probability distribution
- pairwise