Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables.
Tal El-HayNir FriedmanPublished in: UAI (2001)
Keyphrases
- chain graphs
- hidden variables
- graphical models
- bayesian networks
- probabilistic model
- conditional independence
- belief propagation
- probabilistic graphical models
- latent variables
- markov networks
- probabilistic inference
- generative model
- bayesian inference
- random variables
- em algorithm
- conditional random fields
- approximate inference
- structure learning
- missing values
- factor graphs
- exponential family
- incomplete data
- exact inference
- models with hidden variables
- parameter learning
- graph structure
- network structure
- text mining
- knowledge representation