On Learning Discrete Graphical Models using Greedy Methods.
Ali JalaliChristopher C. JohnsonPradeep RavikumarPublished in: NIPS (2011)
Keyphrases
- graphical models
- learning algorithm
- undirected graphical models
- belief propagation
- conditional random fields
- relational dependency networks
- statistical inference
- probabilistic model
- random variables
- probabilistic graphical models
- approximate inference
- parameter learning
- search algorithm
- relational models
- reinforcement learning
- hidden markov models
- relational databases
- exact inference
- bayesian networks