An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations

Research article (Journal of Computational and Applied Mathematics, 2022) · cited 24× · AI/ML
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An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations

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An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-adaptive-residual-sub-sampling-algorithm-for-kernel-interpolation-based-on-maximum-likelihood-estimations
MLA “An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-adaptive-residual-sub-sampling-algorithm-for-kernel-interpolation-based-on-maximum-likelihood-estimations.
BibTeX @misc{4ortxyz_an-adaptive-residual-sub-sampling-algorithm-for-kernel-interpolation-based-on-maximum-likelihood-estimations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations}}, year = {2026}, url = {https://4ort.xyz/entity/an-adaptive-residual-sub-sampling-algorithm-for-kernel-interpolation-based-on-maximum-likelihood-estimations}, note = {Accessed: 2026-05-24}}
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