Rate-Agnostic (Causal) Structure Learning.
Sergey M. PlisDavid DanksCynthia FreemanVince D. CalhounPublished in: NIPS (2015)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- parameter learning
- bayesian network structure learning
- transfer learning
- conditional independence tests
- causal models
- markov logic networks
- bayesian network classifiers
- parameter estimation
- network structure
- causal discovery
- markov networks
- causal relationships
- probability distribution
- posterior probability
- structure learning algorithm
- probabilistic reasoning
- machine learning algorithms
- sample size
- probabilistic model
- approximate inference
- reinforcement learning
- social networks