Add isotropic Gaussian kernels at own risk: more and more resilient modes in higher dimensions.
Herbert EdelsbrunnerBrittany Terese FasyGünter RotePublished in: SCG (2012)
Keyphrases
- gaussian kernels
- kernel function
- learning rate
- reproducing kernel hilbert space
- gaussian kernel
- feature space
- special case
- basis functions
- kernel learning
- uniform convergence
- machine learning
- kernel principal component analysis
- multiple kernel learning
- binary classification
- convergence rate
- multi class
- support vector
- training data