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University of Cambridge > Talks.cam > A Geometric Measure Theory view of Reproducing Kernel Hilbert Spaces
A Geometric Measure Theory view of Reproducing Kernel Hilbert SpacesAdd to your list(s) Send you e-mail reminders Reproducing Kernel Hilbert Spaces and the ‘kernel trick’ are used in support vector machine learning algorithms and for splines. Their use for providing a computable norm for surfaces in R^3 as currents will be described. This list is ex-directory. This means that it does not appear in the index. Note that, like with a telephone, people can still access the list by guessing its number. Note that, unlike with a telephone, guessing the number is a trivial challenge.
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