Extendability of causal graphical models: Algorithms and computational complexity.
Marcel WienöbstMax BannachMaciej LiskiewiczPublished in: UAI (2021)
Keyphrases
- graphical models
- computational complexity
- bayesian networks
- belief propagation
- random variables
- probabilistic inference
- probabilistic graphical models
- markov networks
- approximate inference
- belief networks
- influence diagrams
- conditional random fields
- exponential family
- image segmentation
- graph structure
- probabilistic model
- exact inference
- np hard
- probabilistic networks
- undirected graphical models