Pages that link to "Item:Q2498389"
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The following pages link to Linearly constrained reconstruction of functions by kernels with applications to machine learning (Q2498389):
Displaying 12 items.
- Generalization of the Kimeldorf-Wahba correspondence for constrained interpolation (Q302441) (← links)
- Reproducing kernel Hilbert spaces associated with analytic translation-invariant Mercer kernels (Q939089) (← links)
- Derivative reproducing properties for kernel methods in learning theory (Q939547) (← links)
- Kernel-based adaptive approximation of functions with discontinuities (Q1736123) (← links)
- A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)
- Generation of point sets by convex optimization for interpolation in reproducing kernel Hilbert spaces (Q2189409) (← links)
- Surrogate modeling of multiscale models using kernel methods (Q2952618) (← links)
- (Q3174084) (← links)
- Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration (Q5163220) (← links)
- Error bounds and the asymptotic setting in kernel-based approximation (Q6556650) (← links)
- Approximation with fractal radial basis functions (Q6593353) (← links)
- On the convergence of generalized kernel-based interpolation by greedy data selection algorithms (Q6660007) (← links)
