Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams.
Denis Deratani MauáPublished in: Probabilistic Graphical Models (2014)
Keyphrases
- influence diagrams
- maximum a posteriori
- expected utility
- junction tree
- decision problems
- markov random field
- probabilistic inference
- bayesian networks
- maximum likelihood
- image reconstruction
- sensitivity analysis
- decision making
- bayesian framework
- expectation maximization
- posterior distribution
- hyperparameters
- em algorithm
- graphical models
- energy function
- belief networks
- exact inference
- higher order
- image processing
- message passing
- probabilistic model
- model selection
- approximate inference
- graph cuts