A Convex Parametrization of a New Class of Universal Kernel Functions.
Brendon K. ColbertMatthew M. PeetPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- kernel function
- support vector
- kernel methods
- feature space
- input space
- reproducing kernel hilbert space
- support vector machine
- high dimensional
- positive semidefinite
- svm classifier
- convex optimization
- optimal kernel
- kernel learning
- kernel matrix
- support vector regression
- gaussian kernels
- kernel trick
- feature set
- piecewise linear
- hyperplane
- convex sets
- neural network
- class labels
- polynomial kernels
- objective function