Recursive Bayesian Inference and Learning of Gaussian-Process State-Space Models.
Karl BerntorpPublished in: ECC (2019)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- variational inference
- probabilistic model
- hidden variables
- expectation propagation
- state space
- bayesian framework
- reinforcement learning
- gaussian processes
- bayesian methods
- model selection
- prior knowledge
- learning process
- active learning
- incremental learning
- latent variables
- regression model
- learning tasks
- conditional random fields
- machine learning
- generative model
- dynamic programming
- learning algorithm