Accurate Error Bounds for the Eigenvalues of the Kernel Matrix.
Mikio L. BraunPublished in: J. Mach. Learn. Res. (2006)
Keyphrases
- kernel matrix
- error bounds
- kernel methods
- semidefinite programming
- kernel function
- low rank
- metric learning
- worst case
- feature space
- theoretical analysis
- kernel matrices
- input space
- model selection
- eigendecomposition
- support vectors
- reproducing kernel hilbert space
- positive definite
- training samples
- ls svm
- missing data
- similarity search
- support vector machine
- singular value decomposition
- feature extraction
- covariance matrix
- least squares
- support vector
- training data