Preconditioning Kernel Matrices.
Kurt CutajarMichael A. OsborneJohn P. CunninghamMaurizio FilipponePublished in: ICML (2016)
Keyphrases
- kernel matrices
- kernel methods
- kernel function
- low rank
- linear combination
- kernel matrix
- reproducing kernel hilbert space
- positive semidefinite
- kernel learning
- primal dual
- generalization bounds
- similarity function
- semidefinite programming
- multiple kernel learning
- feature space
- data sets
- model selection
- semi supervised
- support vector machine
- metric learning
- learning problems
- least squares
- pairwise constraints
- lower bound
- low rank matrix
- support vector
- machine learning