Iterative Refinement of Approximate Posterior for Training Directed Belief Networks.
R. Devon HjelmKyunghyun ChoJunyoung ChungRuss R. SalakhutdinovVince D. CalhounNebojsa JojicPublished in: CoRR (2015)
Keyphrases
- belief networks
- iterative refinement
- probability distribution
- bayesian belief networks
- graphical models
- structured prediction
- probabilistic inference
- probabilistic reasoning
- junction tree
- conditional probabilities
- training set
- belief propagation
- posterior distribution
- exact inference
- data sets
- training examples
- artificial neural networks
- support vector
- stochastic simulation
- multilayer perceptron
- mutual information
- neural network