Regularization in a functional reproducing kernel Hilbert space.
Rui WangYuesheng XuPublished in: J. Complex. (2021)
Keyphrases
- reproducing kernel hilbert space
- loss function
- kernel methods
- learning theory
- data dependent
- euclidean space
- reproducing kernel
- kernel function
- special case
- density estimation
- tikhonov regularization
- real valued
- distance measure
- domain adaptation
- kernel matrix
- gaussian process
- input space
- learning problems
- shape analysis
- metric learning
- linear model
- convex loss functions
- missing data
- target domain
- dimensionality reduction
- high dimensional
- feature selection