Pages that link to "Item:Q2999873"
From MaRDI portal
The following pages link to Kernel Approximation on Manifolds I: Bounding the Lebesgue Constant (Q2999873):
Displaying 35 items.
- Cardinal interpolation with general multiquadrics (Q503484) (← links)
- Surface spline approximation on \(SO(3)\) (Q550488) (← links)
- Sparse data interpolation and smoothing on embedded submanifolds (Q777045) (← links)
- Interpolating splines on graphs for data science applications (Q778025) (← links)
- Perturbed kernel approximation on homogeneous manifolds (Q849619) (← links)
- Eignets for function approximation on manifolds (Q984660) (← links)
- Radial basis function approximation of noisy scattered data on the sphere (Q1679208) (← links)
- Optimal order Jackson type inequality for scaled Shepard approximation (Q1697439) (← links)
- Polyharmonic and related kernels on manifolds: interpolation and approximation (Q1928234) (← links)
- Multi-task learning in vector-valued reproducing kernel Banach spaces with the \(\ell^1\) norm (Q1996886) (← links)
- Almost positive kernels on compact Riemannian manifolds (Q2172490) (← links)
- Ambient approximation on embedded submanifolds (Q2216644) (← links)
- Kernel based quadrature on spheres and other homogeneous spaces (Q2450862) (← links)
- Deterministic error bounds for kernel-based learning techniques under bounded noise (Q2665700) (← links)
- Sparse regularized learning in the reproducing kernel Banach spaces with the \(\ell^1\) norm (Q2668579) (← links)
- Sampling Inequalities and Support Vector Machines for Galerkin Type Data (Q3001286) (← links)
- A Kernel-Based Embedding Method and Convergence Analysis for Surfaces PDEs (Q4602900) (← links)
- Gaussian processes for computer experiments (Q4606435) (← links)
- Direct and Inverse Results on Bounded Domains for Meshless Methods via Localized Bases on Manifolds (Q4611815) (← links)
- An inverse theorem for compact Lipschitz regions in ℝ^{𝕕} using localized kernel bases (Q4637584) (← links)
- Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces (Q5051324) (← links)
- The penalized Lebesgue constant for surface spline interpolation (Q5388797) (← links)
- A Galerkin Radial Basis Function Method for Nonlocal Diffusion (Q5743949) (← links)
- Kernel Approximation on Algebraic Varieties (Q5886836) (← links)
- Error bounds for a least squares meshless finite difference method on closed manifolds (Q6168052) (← links)
- Sketching with Spherical Designs for Noisy Data Fitting on Spheres (Q6189173) (← links)
- Adaptive estimation of external fields in reproducing kernel Hilbert spaces (Q6496651) (← links)
- Moduli of smoothness, \(K\)-functionals and Jackson-type inequalities associated with Kernel function approximation in learning theory (Q6587592) (← links)
- Weighted spectral filters for kernel interpolation on spheres: estimates of prediction accuracy for noisy data (Q6587629) (← links)
- Radial basis function approximation with distributively stored data on spheres (Q6593033) (← links)
- Locally supported, quasi-interpolatory bases for the approximation of functions on graphs (Q6635261) (← links)
- Kernel multigrid on manifolds (Q6649711) (← links)
- A high-order meshless linearly implicit energy-preserving method for nonlinear wave equations on Riemannian manifolds (Q6654573) (← links)
- A POD based reduced-order local RBF collocation approach for time-dependent nonlocal diffusion problems (Q6656505) (← links)
- Spherical basis functions in Hardy spaces with localization constraints (Q6658102) (← links)