An Algebraic Graphical Model for Decision with Uncertainties, Feasibilities, and Utilities
Cédric PraletThomas SchiexGérard VerfailliePublished in: CoRR (2011)
Keyphrases
- graphical models
- influence diagrams
- belief propagation
- expected utility
- probabilistic model
- random variables
- probabilistic inference
- probabilistic graphical models
- approximate inference
- exact inference
- bayesian networks
- decision making
- markov networks
- map inference
- structure learning
- conditional random fields
- belief networks
- decision makers
- statistical inference
- factor graphs
- utility function
- graph structure
- decision theory
- gaussian graphical models
- conditional dependencies
- conditional independence
- message passing
- objective function
- undirected graphical models
- parameter estimation