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Spectral Regularization for Support Estimation
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متن کاملSpectral Regularization for Support Estimation
In this paper we consider the problem of learning from data the support of a probability distribution when the distribution does not have a density (with respect to some reference measure). We propose a new class of regularized spectral estimators based on a new notion of reproducing kernel Hilbert space, which we call “completely regular”. Completely regular kernels allow to capture the releva...
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ژورنال
عنوان ژورنال: MATHEMATICA SCANDINAVICA
سال: 2000
ISSN: 1903-1807,0025-5521
DOI: 10.7146/math.scand.a-14282