Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams.
Denis Deratani MauáPublished in: Int. J. Approx. Reason. (2016)
Keyphrases
- influence diagrams
- maximum a posteriori
- expected utility
- junction tree
- decision problems
- markov random field
- maximum likelihood
- sensitivity analysis
- bayesian networks
- image reconstruction
- probabilistic inference
- decision making
- hyperparameters
- bayesian framework
- posterior distribution
- graphical models
- em algorithm
- expectation maximization
- energy function
- exact inference
- belief networks
- utility function
- higher order
- high quality
- optimal strategy
- markov networks
- probabilistic model
- probability distribution
- belief propagation
- random variables