Active Learning in Gaussian Process State Space Model.
Hon Sum Alec YuDingling YaoChristoph ZimmerMarc ToussaintDuy Nguyen-TuongPublished in: ECML/PKDD (3) (2021)
Keyphrases
- gaussian process
- state space model
- active learning
- dynamical model
- semi supervised
- gaussian processes
- hyperparameters
- random sampling
- state estimation
- regression model
- bayesian framework
- model selection
- kalman filter
- autoregressive
- latent variables
- learning algorithm
- learning process
- training set
- machine learning
- cross validation
- latent space
- training data
- maximum likelihood
- feature space
- video sequences