Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables.
Nevena LazicChristopher M. BishopJohn M. WinnPublished in: AISTATS (2013)
Keyphrases
- latent variables
- structure learning
- expectation propagation
- approximate inference
- graphical models
- posterior distribution
- bayesian networks
- probabilistic model
- variational bayes
- gaussian process
- random variables
- network structure
- bayesian inference
- parameter estimation
- dynamic bayesian networks
- markov networks
- conditional independence
- belief propagation
- hidden variables
- gaussian processes
- exact inference
- probabilistic inference
- probability distribution
- social networks
- prior knowledge
- posterior probability
- markov chain monte carlo
- topic models
- conditional random fields
- bayesian learning
- transfer learning
- higher order
- data mining
- text mining
- least squares
- expectation maximization
- em algorithm
- mixture model
- belief networks
- conditional probabilities
- training set