Keyphrases
- structure learning
- bayesian networks
- dimensionality reduction
- graphical models
- markov logic networks
- probabilistic model
- conditional independence
- parameter learning
- transfer learning
- bayesian network structure learning
- parameter estimation
- generative model
- high dimensional
- principal component analysis
- feature extraction
- network structure
- high dimensional data
- posterior probability
- markov networks
- probabilistic reasoning
- probability distribution
- markov blanket
- feature selection
- random variables
- belief propagation
- data points
- sample size
- conditional probabilities
- belief networks
- unsupervised learning
- logic programs