Gaussian Process Training with Input Noise.
Andrew McHutchonCarl Edward RasmussenPublished in: NIPS (2011)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- hyperparameters
- model selection
- approximate inference
- gaussian process regression
- latent variables
- noise level
- bayesian framework
- gaussian process classification
- dynamical model
- sparse approximations
- input data
- gaussian process models
- semi supervised
- expectation propagation
- noise reduction
- missing data
- noise model
- training set
- covariance function
- cross validation
- marginal likelihood
- supervised learning
- signal to noise ratio
- high dimensional
- higher order