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Titlebook: Explorations in the Mathematics of Data Science; The Inaugural Volume Simon Foucart,Stephan Wojtowytsch Book 2024 The Editor(s) (if applica

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發(fā)表于 2025-3-28 15:34:40 | 只看該作者
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發(fā)表于 2025-3-28 19:16:32 | 只看該作者
https://doi.org/10.1007/978-3-642-72043-7overy is performed using the Lawson Hanson algorithm. To enhance the computational speed of this algorithm, we offer GETS: a GEnomic Tree based Sparse solver. We exploit the inherent structure of the genomic problem to uncover an evolutionary family tree type relationship between the species. This g
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發(fā)表于 2025-3-29 00:22:15 | 只看該作者
Richard Colmorn,Michael Hülsmannlow case, we prove the following: .This improves on the commonly reported . rate (at least for the lower limit) and provides a sharp characterization of the energy decay law. We also note that it is impossible to establish a rate . for the full limit for any function . which satisfies ., even asympt
44#
發(fā)表于 2025-3-29 06:05:16 | 只看該作者
https://doi.org/10.1007/978-3-031-66497-7Approximation Theory; Learning Theory; Compressive Sensing; Neural Networks; Center for Approximation an
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