Causal Discovery of Dynamic Bayesian Networks.
Cora Beatriz Pérez-ArizaAnn E. NicholsonKevin B. KorbSteven MascaroChao Heng HuPublished in: Australasian Conference on Artificial Intelligence (2012)
Keyphrases
- dynamic bayesian networks
- causal discovery
- bayesian networks
- causal relationships
- conditional independence
- causal models
- structure learning
- approximate inference
- discovery process
- probability distribution
- particle filtering
- graphical models
- directed acyclic graph
- probabilistic model
- probabilistic inference
- prior knowledge
- state variables
- gaussian process
- belief propagation
- machine learning