Simulation Approaches to General Probabilistic Inference on Belief Networks
Ross D. ShachterMark Alan PeotPublished in: CoRR (2013)
Keyphrases
- belief networks
- probabilistic inference
- stochastic simulation
- graphical models
- bayesian belief networks
- conditional probabilities
- probabilistic reasoning
- probability distribution
- exact inference
- influence diagrams
- weighted model counting
- approximate inference
- variable elimination
- bayesian networks
- junction tree
- belief propagation
- artificial neural networks
- training data
- active contours
- higher order
- fuzzy logic
- image sequences
- computer vision
- neural network