Universalities of Reproducing Kernels Revisited

21 Oct 2013Benxun WangHaizhang Zhang

Kernel methods have been widely applied to machine learning and other questions of approximating an unknown function from its finite sample data. To ensure arbitrary accuracy of such approximation, various denseness conditions are imposed on the selected kernel... (read more)

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