Simulation Approaches to General Probabilistic Inference on Belief Networks.
Ross D. ShachterMark A. PeotPublished in: UAI (1989)
Keyphrases
- belief networks
- probabilistic inference
- graphical models
- stochastic simulation
- bayesian belief networks
- conditional probabilities
- probabilistic reasoning
- variable elimination
- exact inference
- approximate inference
- probability distribution
- influence diagrams
- bayesian networks
- computer vision
- belief propagation
- junction tree
- data sets
- weighted model counting
- random variables
- multilayer perceptron
- probabilistic model
- feature space