Pages that link to "Item:Q1966314"
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The following pages link to Approximation properties of zonal function networks using scattered data on the sphere (Q1966314):
Displaying 38 items.
- Linear and nonlinear approximation of spherical radial basis function networks (Q290797) (← links)
- Polyharmonic approximation on the sphere (Q623351) (← links)
- Paley-Wiener approximations and multiscale approximations in Sobolev and Besov spaces on manifolds (Q836236) (← links)
- On the degree of approximation by spherical translations (Q861421) (← links)
- Jackson-type inequalities for spherical neural networks with doubling weights (Q889374) (← links)
- The convergence rate for a \(K\)-functional in learning theory (Q962475) (← links)
- Error estimates for Hermite interpolation on spheres (Q1399296) (← links)
- Existence and uniqueness of solutions for the Navier-Stokes equations with hyperdissipation. (Q1399298) (← links)
- Nonparametric regression using needlet kernels for spherical data (Q1633627) (← links)
- Function approximation with zonal function networks with activation functions analogous to the rectified linear unit functions (Q1734693) (← links)
- A high-order meshless Galerkin method for semilinear parabolic equations on spheres (Q1740640) (← links)
- A general radial quasi-interpolation operator on the sphere (Q1759356) (← links)
- On the representation of smooth functions on the sphere using finitely many bits (Q1780689) (← links)
- Some problems in the theory of ridge functions (Q1798075) (← links)
- On best approximation of classes by radial functions (Q1867260) (← links)
- Local quadrature formulas on the sphere (Q1888380) (← links)
- Essential rate for approximation by spherical neural networks (Q1952559) (← links)
- Interpolation and best approximation for spherical radial basis function networks (Q2015218) (← links)
- Distributed learning via filtered hyperinterpolation on manifolds (Q2162123) (← links)
- Approximation of Sobolev classes by polynomials and ridge functions (Q2389529) (← links)
- On approximation by reproducing kernel spaces in weighted \(L^p\) spaces (Q2425847) (← links)
- Quadrature in Besov spaces on the Euclidean sphere (Q2465286) (← links)
- Bernstein-Nikolskii inequalities and Riesz interpolation formula on compact homogeneous manifolds (Q2481505) (← links)
- Weighted quadrature formulas and approximation by zonal function networks on the sphere (Q2496179) (← links)
- Local approximation of operators (Q2689140) (← links)
- Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature (Q2719068) (← links)
- The estimate for approximation error of spherical neural networks (Q3174265) (← links)
- Scattered data quasi‐interpolation on spheres (Q3450321) (← links)
- $L^p$ Bernstein estimates and approximation by spherical basis functions (Q3584842) (← links)
- Leave-One-Out Bounds for Kernel Methods (Q4816853) (← links)
- APPROXIMATION BY SPHERICAL NEURAL NETWORKS WITH ZONAL FUNCTIONS (Q5370778) (← links)
- Applications of classical approximation theory to periodic basis function networks and computational harmonic analysis (Q5396581) (← links)
- A way of constructing translation network operators by Bernstein operators (Q5437325) (← links)
- Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere (Q5855635) (← links)
- Approximation with interpolatory constraints (Q5890472) (← links)
- Weighted spectral filters for kernel interpolation on spheres: estimates of prediction accuracy for noisy data (Q6587629) (← links)
- On the density of translation networks defined on the unit ball (Q6633210) (← links)
- Approximation by convolution translation networks on conic domains (Q6661076) (← links)