Greedy learning of graphical models with small girth.
Avik RaySujay SanghaviSanjay ShakkottaiPublished in: Allerton Conference (2012)
Keyphrases
- graphical models
- learning algorithm
- approximate inference
- probabilistic inference
- belief propagation
- random variables
- bayesian networks
- probabilistic model
- reinforcement learning
- belief networks
- structure learning
- probabilistic graphical models
- markov logic networks
- structural learning
- semi supervised
- information extraction
- conditional random fields
- xml documents
- objective function
- markov networks
- conditional independence
- parameter learning
- map inference