Regression with Input-Dependent Noise: A Bayesian Treatment.
Christopher M. BishopCazhaow S. QuazazPublished in: NIPS (1996)
Keyphrases
- sparse bayesian learning
- input data
- gaussian processes
- statistically independent
- bayesian approaches
- noise reduction
- noise level
- signal to noise ratio
- relevance vector machine
- regression model
- linear regression
- model selection
- maximum likelihood
- posterior distribution
- bayesian learning
- regression problems
- additive noise
- missing data
- image noise
- support vector regression
- noisy data
- median filter
- data sets
- noise free
- regression method
- random noise
- noisy images
- genetic programming
- dirichlet process mixture