A submodular-supermodular procedure with applications to discriminative structure learning
Mukund NarasimhanJeff A. BilmesPublished in: CoRR (2012)
Keyphrases
- structure learning
- bayesian network classifiers
- graphical models
- bayesian networks
- parameter learning
- conditional independence
- bayesian network structure learning
- parameter estimation
- markov logic networks
- transfer learning
- objective function
- probabilistic model
- machine learning
- conditional independence tests
- discriminative learning
- markov networks
- network structure
- sample size
- maximum likelihood estimation
- belief propagation
- clustering algorithm
- data mining