On the Choice of a Kernel Function in Symmetric Spaces.
Mark A. AizermanEmmanuil M. BravermanLev I. RozonoerPublished in: Braverman Readings in Machine Learning (2017)
Keyphrases
- kernel function
- positive definite
- positive semi definite
- kernel methods
- support vector
- feature space
- input space
- kernel matrix
- optimal kernel
- support vector machine
- hilbert space
- support vector regression
- high dimensional feature space
- gaussian kernels
- support vectors
- kernel learning
- kernel parameters
- kernel matrices
- kernel trick
- high dimensional
- dot product
- machine learning
- kernel based nonlinear
- positive semidefinite
- svm classification