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