Structure Learning of Partitioned Markov Networks.
Song LiuTaiji SuzukiMasashi SugiyamaKenji FukumizuPublished in: ICML (2016)
Keyphrases
- structure learning
- markov networks
- graphical models
- probabilistic graphical models
- maximum likelihood
- markov logic networks
- bayesian networks
- first order logic
- belief propagation
- probabilistic model
- bayesian inference
- maximum margin
- markov random field
- structured prediction
- parameter learning
- bayesian network classifiers
- document classification
- conditional random fields
- hidden variables
- conditional probabilities
- posterior probability
- max margin
- markov blanket
- inductive logic programming
- conditional independence
- random variables
- decision trees
- latent variables
- maximum a posteriori
- graph cuts
- higher order
- natural language processing
- knowledge representation
- data points
- special case
- prior knowledge