Gaussian process regression with log-linear scaling for common non-stationary kernels.
P. Michael KielstraMichael LindseyPublished in: CoRR (2024)
Keyphrases
- non stationary
- log linear
- covariance function
- gaussian process regression
- gaussian processes
- log linear models
- gaussian process
- probabilistic modeling
- latent variables
- efficient learning
- kernel methods
- discriminative training
- support vector
- computer vision
- machine learning
- kernel function
- max margin
- prior knowledge
- multiscale