Fast variational learning in state-space Gaussian process models
Ғылым және технология
Video presentation for the paper: Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, and Arno Solin (2020). Fast variational learning in state-space Gaussian process models. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP).
Pre-print available on arXiv: arxiv.org/abs/2007.05994
Пікірлер: 1
How does online inference step work then? Say I observe additional accidents in coal or airlines, but there is no time to retrain the GP. Do I simply add observations to GP data and then predict for unseen steps?