Keyphrases
- structure learning
- latent variables
- bayesian networks
- probabilistic model
- random variables
- graphical models
- conditional independence
- parameter learning
- structure learning algorithm
- posterior distribution
- hidden variables
- dynamic bayesian networks
- bayesian network classifiers
- approximate inference
- topic models
- probability distribution
- probabilistic graphical models
- markov networks
- gaussian process
- probabilistic inference
- exact inference
- conditional probabilities
- parameter estimation
- posterior probability
- dependency structure
- prior knowledge
- structured prediction
- max margin
- transfer learning
- bayesian inference
- conditional random fields
- factor graphs
- network structure
- incomplete data
- data mining
- training data
- message passing
- expectation maximization
- generative model
- sample size
- maximum likelihood estimation
- belief networks