Pages that link to "Item:Q391804"
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The following pages link to Asymptotic error bounds for kernel-based Nyström low-rank approximation matrices (Q391804):
Displaying 6 items.
- Large-scale eigenvector approximation via Hilbert space embedding Nyström (Q1677860) (← links)
- Low-rank decomposition meets kernel learning: a generalized Nyström method (Q1680675) (← links)
- The smallest eigenvalues of random kernel matrices: asymptotic results on the min kernel (Q1726910) (← links)
- Feature uncertainty bounds for explicit feature maps and large robust nonlinear SVM classifiers (Q2294606) (← links)
- Learning Low-Rank Kernel Matrices with Column-Based Methods (Q3590022) (← links)
- On the Numerical Rank of Radial Basis Function Kernels in High Dimensions (Q4644416) (← links)
