Density Problem and Approximation Error in Learning Theory
نویسندگان
چکیده
منابع مشابه
Estimating the Approximation Error in Learning Theory
Let B be a Banach space and (H, ‖ · ‖H) be a dense, imbedded subspace. For a ∈ B, its distance to the ball of H with radius R (denoted as I(a, R)) tends to zero when R tends to infinity. We are interested in the rate of this convergence. This approximation problem arose from the study of learning theory, where B is the L2 space and H is a reproducing kernel Hilbert space. The class of elements ...
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ژورنال
عنوان ژورنال: Abstract and Applied Analysis
سال: 2013
ISSN: 1085-3375,1687-0409
DOI: 10.1155/2013/715683