Divergence-Free Kernel Methods for Approximating the Stokes Problem.
Holger WendlandPublished in: SIAM J. Numer. Anal. (2009)
Keyphrases
- kernel methods
- support vector
- learning problems
- kernel function
- feature space
- kernel matrix
- machine learning
- support vector machine
- reproducing kernel hilbert space
- kernel ridge regression
- kernel matrices
- gaussian kernels
- gaussian kernel
- similarity function
- kernel pca
- kernel parameters
- data sets
- learning tasks
- distance metric
- feature vectors
- neural network
- learning frameworks