Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings.
Borui WangGeoffrey GordonPublished in: CoRR (2017)
Keyphrases
- graphical models
- belief propagation
- latent variables
- probabilistic model
- random variables
- approximate inference
- markov networks
- message passing
- probabilistic graphical models
- factor graphs
- structured prediction
- probabilistic inference
- stereo matching
- graph cuts
- exact inference
- prior knowledge
- latent variable models
- bayesian networks
- hidden variables
- hilbert space
- structure learning
- special case
- markov random field
- pairwise
- conditional random fields
- influence diagrams
- active learning
- loopy belief propagation
- learning algorithm
- generative model
- learning problems
- higher order
- dynamic bayesian networks
- reinforcement learning
- computer vision