Variance analyses for kernel regressors with nested reproducing kernel hilbert spaces.
Akira TanakaHideyuki ImaiKoji TakamiyaPublished in: ICASSP (2012)
Keyphrases
- reproducing kernel hilbert space
- kernel methods
- reproducing kernel
- loss function
- kernel function
- gaussian kernels
- learning theory
- uniform convergence
- euclidean space
- special case
- data dependent
- density estimation
- gaussian kernel
- distance measure
- domain adaptation
- real valued
- hilbert space
- finite dimensional
- kernel matrix
- representer theorem
- learning problems
- gaussian process
- kernel machines
- input space
- feature space
- support vector
- hilbert schmidt
- kullback leibler divergence
- metric learning
- support vectors
- linear model
- decision trees
- vector space
- support vector machine
- pairwise
- feature extraction