Markov Network Structure Learning: A Randomized Feature Generation Approach.
Jan Van HaarenJesse DavisPublished in: AAAI (2012)
Keyphrases
- markov networks
- structure learning
- graphical models
- belief propagation
- bayesian networks
- maximum likelihood
- markov logic networks
- first order logic
- probabilistic model
- document classification
- conditional random fields
- bayesian inference
- markov random field
- conditional probabilities
- hidden variables
- posterior probability
- conditional independence
- inductive logic programming
- artificial intelligence
- knowledge base
- probability distribution
- image matching
- machine learning
- random variables
- parameter estimation
- text categorization
- graph cuts
- text mining