Mean Field Inference in Dependency Networks: An Empirical Study.
Daniel LowdArash ShamaeiPublished in: AAAI (2011)
Keyphrases
- belief networks
- bayesian inference
- loopy belief propagation
- probabilistic networks
- markov random field
- social networks
- variational inference
- exact inference
- variational approximation
- inference process
- probabilistic inference
- complex networks
- markov networks
- deterministic annealing
- neural network
- computer networks
- random fields
- markov chain monte carlo
- heterogeneous networks
- em algorithm
- probabilistic model
- bayesian networks
- image segmentation
- knowledge base
- variational bayes