Sequential Bayesian kernel modelling with non-Gaussian noise.
Nikolay Y. NikolaevLilian M. de MenezesPublished in: Neural Networks (2008)
Keyphrases
- gaussian processes
- random noise
- additive noise
- non stationary
- bayesian approaches
- noisy data
- support vector
- noise reduction
- independent component analysis
- kernel function
- maximum likelihood
- data driven
- noise level
- image processing
- kernel regression
- feature space
- median filter
- convolution kernel
- kernel machines
- bayesian learning
- noise model
- semi supervised
- high dimensional data
- input data
- autoregressive
- bayesian inference
- missing data