Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input.
Long ChenLinqing WangZhongyang HanJun ZhaoWei WangPublished in: IEEE CAA J. Autom. Sinica (2020)
Keyphrases
- dynamic bayesian networks
- variational inference
- exact inference
- approximate inference
- gaussian process
- bayesian networks
- graphical models
- bayesian inference
- particle filtering
- probabilistic model
- belief propagation
- probabilistic inference
- posterior distribution
- state variables
- closed form
- support vector
- regression model
- conditional random fields
- message passing
- computer vision
- feature space
- incomplete data
- belief networks
- topic models
- latent variables
- particle filter
- upper bound
- prior information
- visual tracking
- active learning
- pairwise
- machine learning
- object tracking
- expectation maximization