Keyphrases
- latent variables
- structure learning
- bayesian networks
- probabilistic model
- graphical models
- random variables
- causal relationships
- conditional independence
- parameter learning
- probabilistic graphical models
- observed variables
- approximate inference
- markov logic networks
- markov networks
- hidden variables
- dependency structure
- posterior distribution
- parameter estimation
- topic models
- gaussian process
- belief propagation
- probabilistic inference
- prior knowledge
- exact inference
- generative model
- max margin
- causal discovery
- conditional probabilities
- posterior probability
- sample size
- structured prediction
- probability distribution
- transfer learning
- directed acyclic graph
- semi supervised