A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.
Kevin P. MurphyPublished in: UAI (1999)
Keyphrases
- variational approximation
- latent variables
- bayesian networks
- exact inference
- probabilistic model
- hidden variables
- approximate inference
- random variables
- variational bayes
- posterior distribution
- graphical models
- gaussian process
- probabilistic inference
- topic models
- conditional independence
- prior knowledge
- conditional probabilities
- probabilistic graphical models
- posterior probability
- bayesian inference
- structure learning
- factor graphs
- variational inference
- parameter learning
- probability distribution
- structured prediction
- em algorithm
- dynamic bayesian networks
- markov networks
- generative model
- variational methods
- markov chain monte carlo
- mixture model