Approximate Inference in Directed Evidential Networks with Conditional Belief Functions Using the Monte Carlo Algorithm.
Wafa LaâmariNarjes Ben HarizBoutheina Ben YaghlanePublished in: IPMU (3) (2014)
Keyphrases
- monte carlo
- importance sampling
- belief functions
- markov chain monte carlo
- approximate inference
- markov tree
- markov chain
- learning algorithm
- search space
- parameter estimation
- bayesian framework
- expectation maximization
- graphical models
- dynamic programming
- computer vision
- data mining
- neural network
- worst case
- belief propagation
- probabilistic model
- posterior probability
- probabilistic inference
- optimal solution
- image processing
- loopy belief propagation
- evidential reasoning