A forward-backward Monte Carlo method for solving influence diagrams.
Andrés CanoManuel Gómez-OlmedoSerafín MoralPublished in: Int. J. Approx. Reason. (2006)
Keyphrases
- influence diagrams
- forward backward
- monte carlo method
- decision problems
- markov chain
- sensitivity analysis
- probabilistic inference
- monte carlo
- decision making
- hidden markov models
- bayesian networks
- graphical models
- posterior distribution
- genetic algorithm
- dynamic programming
- neural network
- belief networks
- bayesian learning
- data mining
- decision makers
- maximum likelihood