Refining a Bayesian Network using a Chain Event Graph.
L. M. BarclayJ. L. HuttonJim Q. SmithPublished in: Int. J. Approx. Reason. (2013)
Keyphrases
- bayesian networks
- structural learning
- graph structure
- weighted graph
- dependency graph
- random walk
- graph theory
- graphical models
- graph representation
- event detection
- incomplete data
- directed acyclic graph
- clique tree
- graph partitioning
- graph model
- probabilistic model
- probability distribution
- graph theoretic
- learning bayesian networks
- graph construction
- event sequences
- approximate inference
- probabilistic inference
- probabilistic reasoning
- structured data
- np complete
- bipartite graph
- spanning tree
- bayesian network classifiers
- conditional probabilities
- maximum likelihood
- uncertain knowledge
- inference in bayesian networks
- influence diagrams