Statistical inference with probabilistic graphical models.
Angélique DremeauChristophe SchülkeYingying XuDevavrat ShahPublished in: CoRR (2014)
Keyphrases
- statistical inference
- probabilistic graphical models
- graphical models
- belief propagation
- markov networks
- random variables
- probabilistic inference
- structure learning
- probabilistic model
- bayesian inference
- conditional random fields
- model selection
- bayesian networks
- approximate inference
- statistical learning
- exact inference
- parameter learning
- first order logic
- belief networks
- machine learning
- regression model
- markov random field
- association rules
- higher order