A possibilistic graphical model for handling decision problems under uncertainty.
Salem BenferhatFaiza KhellafIsmahane ZeddighaPublished in: EUSFLAT Conf. (2013)
Keyphrases
- graphical models
- decision problems
- influence diagrams
- expected utility
- expected utility theory
- possibility distributions
- possibility theory
- conditional independence
- utility function
- probabilistic inference
- belief propagation
- probabilistic model
- sequential decision making
- random variables
- decision analysis
- probabilistic graphical models
- decision model
- bayesian networks
- optimal strategy
- decision makers
- minimax regret
- approximate inference
- computational complexity
- belief networks
- conditional random fields
- optimal policy
- markov networks
- structure learning
- probability theory
- von neumann
- conditional dependencies
- bayesian decision problems
- exact inference
- np hard
- possibilistic logic
- decision theory
- factor graphs
- bandit problems
- gaussian graphical models
- preference relations
- dynamic bayesian networks
- belief functions
- parameter estimation
- dynamic programming
- pairwise
- search algorithm