Modelling sequential branching dynamics with a multivariate branching Gaussian process.
Elvijs SarkansSumon AhmedMagnus RattrayAlexis BoukouvalasPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- gaussian process
- regression model
- gaussian processes
- dynamical model
- dynamical models
- gaussian process regression
- bayesian framework
- approximate inference
- model selection
- gaussian process classification
- latent variables
- hyperparameters
- semi supervised
- expectation propagation
- gaussian process models
- sparse approximations
- maximum likelihood
- lower bound
- marginal likelihood
- data streams
- image processing