Active Learning in Gaussian Process State Space Model.
Hon Sum Alec YuDingling YaoChristoph ZimmerMarc ToussaintDuy Nguyen-TuongPublished in: CoRR (2021)
Keyphrases
- gaussian process
- state space model
- active learning
- dynamical model
- semi supervised
- gaussian processes
- random sampling
- regression model
- state estimation
- hyperparameters
- model selection
- bayesian framework
- kalman filter
- latent variables
- learning algorithm
- autoregressive
- machine learning
- learning process
- training set
- latent space
- human pose estimation
- graph cuts
- reinforcement learning