A bound on the probability that a Gaussian process exceeds a given function (Corresp.).
Robert G. GallagerCarl W. HelstromPublished in: IEEE Trans. Inf. Theory (1969)
Keyphrases
- gaussian process
- covariance function
- gaussian processes
- regression model
- approximate inference
- gaussian process regression
- reproducing kernel hilbert space
- latent variables
- dynamical model
- bayesian framework
- gaussian process classification
- semi supervised
- model selection
- hyperparameters
- upper bound
- probability distribution
- gaussian process models
- cross validation
- expectation propagation
- learning algorithm
- bayesian methods
- sample size
- non stationary
- worst case
- sparse approximations