Approximate inference for dynamic Bayesian networks: sliding window approach.
Xiao-Guang GaoJun-Feng MeiHaiyang ChenDa-Qing ChenPublished in: Appl. Intell. (2014)
Keyphrases
- sliding window
- dynamic bayesian networks
- approximate inference
- graphical models
- data streams
- probabilistic inference
- belief propagation
- gaussian process
- parameter estimation
- bayesian networks
- message passing
- exact inference
- latent variables
- expectation propagation
- probabilistic model
- conditional random fields
- random variables
- structure learning
- stereo matching
- conditional probabilities
- graph cuts
- multi view
- markov random field
- semi supervised