Stochastic variational hierarchical mixture of sparse Gaussian processes for regression.
Thi Nhat Anh NguyenAbdesselam BouzerdoumSon Lam PhungPublished in: Mach. Learn. (2018)
Keyphrases
- gaussian processes
- covariance function
- relevance vector machine
- gaussian process
- dirichlet process
- gaussian process regression
- ordinal regression
- multi task learning
- gaussian process models
- image segmentation
- multi task
- mixture model
- human pose estimation
- regression model
- hyperparameters
- model selection
- high dimensional
- approximate inference
- non stationary
- bayesian framework
- image reconstruction
- variational methods
- learning experience
- generative model
- multi class
- pairwise