Mean Field inference of CRFs based on GAT.
Linghong XingXiangxiang MaGuangsheng LuoPublished in: CoRR (2022)
Keyphrases
- loopy belief propagation
- exact inference
- conditional random fields
- undirected graphical models
- belief networks
- graphical models
- bayesian inference
- approximate inference
- variational approximation
- structured prediction
- markov random field
- markov networks
- bayesian networks
- crf model
- belief propagation
- probabilistic inference
- probabilistic model
- random fields
- max margin learning
- higher order
- parameter learning
- variational inference
- hidden markov models
- free energy
- probabilistic graphical models
- continuous time bayesian networks
- partition function
- information extraction
- markov chain monte carlo
- generative model
- sequence labeling
- dynamic bayesian networks
- em algorithm
- message passing
- latent variables
- pairwise
- graph cuts
- inference process
- probability distribution
- fully connected
- junction tree
- variational bayes
- random variables
- maximum margin
- maximum entropy
- image labeling
- machine learning
- gene regulatory networks
- web page prediction