Keyphrases
- structure learning
- sample complexity
- sample size
- bayesian networks
- graphical models
- theoretical analysis
- learning problems
- upper bound
- active learning
- supervised learning
- special case
- lower bound
- generalization error
- transfer learning
- learning algorithm
- conditional independence
- parameter estimation
- training examples
- network structure
- learning process
- data sets
- markov networks
- recommender systems
- belief propagation
- kernel methods
- worst case
- probability distribution
- maximum likelihood estimation
- objective function