Regression with Input-dependent Noise: A Gaussian Process Treatment.
Paul W. GoldbergChristopher K. I. WilliamsChristopher M. BishopPublished in: NIPS (1997)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- covariance function
- model selection
- sparse approximations
- hyperparameters
- noise level
- approximate inference
- gaussian process classification
- input data
- bayesian framework
- gaussian process models
- conditional distribution
- latent variables
- semi supervised
- noise model
- marginal likelihood
- expectation propagation
- signal to noise ratio
- support vector
- parameter estimation
- missing data
- noise reduction
- machine learning
- bayesian methods
- similarity measure
- learning algorithm