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Spring 2020
One popular approach to estimating an unknown function from noisy data is the use of a regularized optimization over a reproducing kernel Hilbert space (RKHS). The solution belongs to a nite-dimensional function space. If we assume the additive measurement noise is Gaussian, then there is a well...
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