Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity.
Asish GhoshalJean HonorioPublished in: NIPS (2017)
Keyphrases
- sample complexity
- learning problems
- bayesian networks
- learning algorithm
- supervised learning
- decision lists
- special case
- reinforcement learning
- active learning
- sample complexity bounds
- pac learnability
- linear threshold
- prior knowledge
- learning process
- decision trees
- decision problems
- inductive inference
- state space
- machine learning