Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition.
Simon BartelsWouter BoomsmaJes FrellsenDamien GarreauPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- kernel matrix
- kernel methods
- kernel function
- low rank
- feature space
- kernel learning
- metric learning
- input space
- model selection
- kernel matrices
- positive definite
- reproducing kernel hilbert space
- ls svm
- training samples
- support vectors
- kernel pca
- positive semidefinite
- cross validation
- linear combination
- pattern recognition
- neural network
- learning tasks
- optical flow
- decision trees