A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification.
Steven Cheng-Xian LiBenjamin M. MarlinPublished in: NIPS (2016)
Keyphrases
- end to end
- gaussian process
- gaussian processes
- scalable video
- regression model
- model selection
- hyperparameters
- gaussian process regression
- latent variables
- bayesian framework
- covariance function
- semi supervised
- congestion control
- admission control
- low latency
- differentiated services
- expectation propagation
- sparse approximations
- prior information
- sample size
- image sequences
- machine learning
- data sets