Keyphrases
- structure learning
- bayesian networks
- dimensionality reduction
- graphical models
- markov logic networks
- probabilistic model
- parameter learning
- conditional independence
- posterior probability
- bayesian network structure learning
- probabilistic reasoning
- markov blanket
- parameter estimation
- principal component analysis
- feature extraction
- low dimensional
- markov networks
- transfer learning
- high dimensional data
- conditional probabilities
- high dimensional
- probabilistic graphical models
- feature space
- probability distribution
- text classification
- learning algorithm
- computer vision
- learning process
- data points
- sample size
- belief networks
- generative model
- neural network
- belief propagation
- random variables
- first order logic
- background knowledge