Factorization, Inference and Parameter Learning in Discrete AMP Chain Graphs.
José M. PeñaPublished in: ECSQARU (2015)
Keyphrases
- parameter learning
- chain graphs
- bayesian networks
- probabilistic graphical models
- structure learning
- hidden variables
- factor graphs
- graphical models
- conditional independence
- conditional random fields
- generative model
- approximate inference
- statistical learning
- probabilistic inference
- undirected graphical models
- em algorithm
- probabilistic model
- markov random field
- belief propagation
- exact inference
- dynamic bayesian networks
- pairwise
- random variables
- parameter estimation
- maximum likelihood
- markov networks
- probability distribution
- k means
- bayesian inference
- machine learning
- expectation maximization
- similarity measure