Fourier Sparse Leverage Scores and Approximate Kernel Learning.
Tamás ErdélyiCameron MuscoChristopher MuscoPublished in: CoRR (2020)
Keyphrases
- kernel learning
- kernel matrices
- multiple kernel
- kernel function
- multiple kernel learning
- kernel matrix
- semi supervised
- kernel methods
- support vector regression
- semidefinite program
- high dimensional
- pairwise constraints
- multi task learning
- distance metric
- dimensionality reduction
- linear combination
- low rank
- small number
- feature selection