Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function.
Budi LestariNur ChamidahDursun AydinErsin YilmazPublished in: Symmetry (2022)
Keyphrases
- reproducing kernel hilbert space
- regression function
- regression problems
- hyperparameters
- gaussian process
- input space
- loss function
- kernel methods
- euclidean space
- special case
- kernel function
- objective function
- learning theory
- data dependent
- model selection
- least squares
- learning problems
- support vector
- bayesian framework
- closed form
- em algorithm
- noise level
- cross validation
- prior information
- bayesian inference
- random sampling
- sample size
- training set
- low dimensional
- feature selection
- missing values