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- W2890743753 abstract "Abstract: In the present paper, we provide an investigation on the learning rate of the Shannon sampling algorithms with l-coefficient regularization. We give the upper bounds for the sample error and the regularization error with the convex inequality in l-spaces and show the approximation error by a K-functional whose convergence rate can be sum up to the translation network approximation. Basing on these estimates we show an explicit learning rate in possibility." @default.
- W2890743753 created "2018-09-27" @default.
- W2890743753 creator A5085002510 @default.
- W2890743753 date "2014-11-25" @default.
- W2890743753 modified "2023-09-24" @default.
- W2890743753 title "The Learning Rate of lp -coefficient Regularized Shannon Sampling Algorithm" @default.
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- W2890743753 doi "https://doi.org/10.11845/sxjz.2012189b" @default.
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