Error bounds and the asymptotic setting in kernel-based approximation
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Publication:6556650
DOI10.14658/PUPJ-DRNA-2022-3-7zbMATH Open1540.65037MaRDI QIDQ6556650
Publication date: 17 June 2024
Published in: Dolomites Research Notes on Approximation (Search for Journal in Brave)
Gaussian processes (60G15) Numerical interpolation (65D05) Interpolation in approximation theory (41A05)
Cites Work
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- Sobolev error estimates and a Bernstein inequality for scattered data interpolation via radial basis functions
- Tractability of multivariate problems. Volume II: Standard information for functionals.
- Theory and application of infinite series.
- Superconvergence of kernel-based interpolation
- An algorithm for selecting a good value for the parameter \(c\) in radial basis function interpolation
- Adaptive radial basis function partition of unity interpolation: a bivariate algorithm for unstructured data
- On the inference of applying Gaussian process modeling to a deterministic function
- Fast automatic Bayesian cubature using lattice sampling
- An extension of a bound for functions in Sobolev spaces, with applications to \((m, s)\)-spline interpolation and smoothing
- Linearly constrained reconstruction of functions by kernels with applications to machine learning
- Inverse and saturation theorems for radial basis function interpolation
- An introduction to the theory of reproducing kernel Hilbert spaces
- Interpolation of spatial data -- a stochastic or a deterministic problem?
- Noisy Information and Computational Complexity
- Approximation Theory and Algorithms for Data Analysis
- Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions
- The reproducing kernel Hilbert space structure of the sample paths of a Gaussian process
- Scattered Data Approximation
Related Items (2)
5-th Dolomites Workshop on Constructive Approximation and Applications -- special issue dedicated to Robert Schaback on the occasion of his 75th birthday ⋮ On the convergence of generalized kernel-based interpolation by greedy data selection algorithms
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