Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression
نویسندگان
چکیده
منابع مشابه
Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression
A typical approach in estimating the learning rate of a regularized learning scheme is to bound the approximation error by the sum of the sampling error, the hypothesis error and the regularization error. Using a reproducing kernel space that satisfies the linear representer theorem brings the advantage of discarding the hypothesis error from the sum automatically. Following this direction, we ...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2011
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00178