Bayesian structure learning in graphical models.
Sayantan BanerjeeSubhashis GhosalPublished in: J. Multivar. Anal. (2015)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- belief propagation
- probabilistic model
- parameter learning
- probabilistic graphical models
- random variables
- probabilistic inference
- markov logic networks
- approximate inference
- conditional independence
- markov networks
- conditional random fields
- dynamic bayesian networks
- belief networks
- exact inference
- posterior probability
- bayesian inference
- factor graphs
- partition function
- machine learning
- undirected graphical models
- message passing
- maximum likelihood
- training data