On Learning Discrete Graphical Models Using Greedy Methods
Ali JalaliChristopher C. JohnsonPradeep RavikumarPublished in: CoRR (2011)
Keyphrases
- graphical models
- undirected graphical models
- probabilistic graphical models
- markov logic networks
- probabilistic inference
- statistical models
- learning algorithm
- deep architectures
- structural learning
- probabilistic model
- conditional random fields
- belief propagation
- belief networks
- statistical inference
- dynamic programming
- bayesian networks
- relational dependency networks
- higher order
- approximate inference
- markov networks
- conditional independence
- structure learning
- variational methods
- search algorithm
- machine learning