State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes.
William J. WilkinsonPaul E. ChangMichael Riis AndersenArno SolinPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- expectation propagation
- approximate inference
- state space
- human pose estimation
- exact inference
- bayesian methods
- regression model
- latent variables
- bayesian framework
- model selection
- semi supervised
- hyperparameters
- state variables
- variational methods
- reinforcement learning
- dynamic bayesian networks
- graphical models
- particle filter
- graph cuts
- probabilistic inference
- cross validation
- image segmentation
- bayesian networks
- posterior distribution
- markov random field
- random sampling
- probabilistic model
- dynamic programming