Error Bounds for Kernel-Based Linear System Identification With Unknown Hyperparameters.
Mingzhou YinRoy S. SmithPublished in: IEEE Control. Syst. Lett. (2023)
Keyphrases
- error bounds
- hyperparameters
- closed form
- support vector
- model selection
- cross validation
- bayesian inference
- regression function
- theoretical analysis
- worst case
- bayesian framework
- gaussian process
- em algorithm
- maximum a posteriori
- incomplete data
- random sampling
- maximum likelihood
- sample size
- gaussian processes
- prior information
- kernel methods
- incremental learning
- support vector machine
- noise level
- data mining
- noisy images
- higher order