Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data.
Junjie LiangWeijieying RenHanifi SaharVasant G. HonavarPublished in: AAAI (2024)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- reproducing kernel hilbert space
- covariance function
- hyperparameters
- clustering algorithm
- bayesian framework
- model selection
- regression model
- approximate inference
- kernel logistic regression
- latent variables
- semi supervised
- gaussian process classification
- gaussian process models
- support vector
- latent space
- kernel function
- learning algorithm
- text mining
- expectation propagation
- noise level
- closed form
- kernel learning
- data points
- probabilistic model
- pairwise