A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques.
Luis D. HernándezSerafín MoralAntonio SalmerónPublished in: Int. J. Approx. Reason. (1998)
Keyphrases
- monte carlo
- importance sampling
- belief networks
- markov chain
- kalman filter
- particle filter
- markov chain monte carlo
- inference in belief networks
- dynamic programming
- probability distribution
- probabilistic model
- neural network
- variance reduction
- conditional probabilities
- artificial neural networks
- bayesian networks
- computer vision
- monte carlo tree search