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Sampling in Reproducing Kernel Hilbert Space
2014An account of sampling in the setting of reproducing kernel spaces is given, the main point of which is to show that the sampling theory of Kluvanek, even though it is very general in some respects, is nevertheless a special case of the reproducing kernel theory. A Dictionary is provided as a handy summary of the essential steps.
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Relations Between Reproducing Kernel Hilbert Spaces
2015When one claims that the signal must be in the RKHS of the noise, for detection to be nonsingular, one in fact means that the family of its paths should be contained, as a set, in the RKHS of that noise. One shall see in the next chapter that such a requirement entails a specific inclusion of related RKHS’s, and the entire topic may be seen as a ...
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Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach
Operations Research, 2022Dimitris J Bertsimas
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Reproducing Kernel Hilbert Spaces: The Rudiments
2015This chapter provides and illustrates, following the table of contents, the basic tools of the theory of reproducing kernel Hilbert spaces.
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Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
Journal of Hydrology, 2020Mir Jafar Sadegh Safari +2 more
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Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Zhen Zhang, Mianzhi Wang, Arye Nehorai
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