An Algebraic Graphical Model for Decision with Uncertainties, Feasibilities, and Utilities

Cédric Pralet Thomas Schiex Gérard Verfaillie

Published 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