Using Potential Influence Diagrams for Probabilistic Inference and Decision Making
Ross D. ShachterPierre NdilikilikeshaPublished in: CoRR (2013)
Keyphrases
- influence diagrams
- probabilistic inference
- decision analysis
- decision making
- graphical models
- bayesian networks
- decision making under uncertainty
- decision problems
- conditional probabilities
- weighted model counting
- approximate inference
- message passing
- belief networks
- probabilistic reasoning
- sensitivity analysis
- bayesian belief networks
- belief propagation
- neural network
- decision makers
- junction tree
- random variables
- exact inference
- probabilistic graphical models
- lower bound
- machine learning