Neural Variational Inference and Learning in Belief Networks.

Andriy Mnih Karol Gregor

Published in: CoRR (2014)

Keyphrases

belief networks
neural network
learning algorithm
prior knowledge
supervised learning
reinforcement learning
pairwise
active learning
probability distribution
graphical models
unsupervised learning
probabilistic inference
bayesian inference
exact inference
probabilistic graphical models