Discriminating between causal structures in Bayesian Networks given partial observations.
Philipp MoritzJörg ReichardtNihat AyPublished in: Kybernetika (2014)
Keyphrases
- bayesian networks
- partial observations
- causal relationships
- causal discovery
- probabilistic reasoning
- probability distribution
- partially observable
- conditional probabilities
- structure learning
- probabilistic model
- graphical models
- markov networks
- observational data
- conditional independence
- probabilistic inference
- action models
- random variables
- domain specific
- computational complexity
- reinforcement learning