Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution.
Katerina Hlavácková-SchindlerPublished in: ICANN (1) (2008)
Keyphrases
- reproducing kernel hilbert space
- tikhonov regularization
- gaussian kernel
- loss function
- kernel methods
- special case
- learning theory
- regularization parameter
- kernel function
- euclidean space
- data dependent
- density estimation
- gaussian kernels
- domain adaptation
- distance measure
- linear model
- real valued
- image restoration
- gaussian process
- input space
- learning problems
- vector valued
- machine learning
- kernel matrix
- maximum likelihood
- pairwise
- euclidean distance
- cross validation
- input data