A Stochastic approximation method for inference in probabilistic graphical models.

Peter Carbonetto Matthew King Firas Hamze

Published in: NIPS (2009)

Keyphrases

stochastic approximation
segmentation method
bayesian inference
probabilistic graphical models
machine learning
reinforcement learning
pairwise
prior knowledge
support vector machine
information extraction
parameter estimation