Keyphrases
- approximate inference
- graphical models
- belief propagation
- exact inference
- probabilistic inference
- probabilistic model
- probabilistic graphical models
- random variables
- bayesian networks
- variational methods
- loopy belief propagation
- factor graphs
- conditional random fields
- message passing
- markov networks
- structure learning
- dynamic bayesian networks
- partition function
- conditional independence
- belief networks
- free energy
- parameter estimation
- parameter learning
- higher order
- feature selection
- undirected graphical models
- markov chain monte carlo
- gaussian process
- exponential family
- statistical models
- active learning
- machine learning
- generalized belief propagation