Please use this identifier to cite or link to this item: https://ir.sc.mahidol.ac.th/handle/123456789/732
Title: The use of hide in learning the value of a function
Authors: Boriboon Novaprateep
Keywords: Convex optimization and noise data;Hypercircle inequality;Regularization;Reproducing kernel Hilbert space
Issue Date: 2010
Publisher: 10th WSEAS International Conference on Applied Computer Science, ACS'10
Citation: คณิตศาสตร์
Series/Report no.: ;193-197
Abstract: In this paper, we briefly review some recent work on Hypercircle inequality for data error (Hide) measured with square loss. We provide it in the case that the unit ball B is replaced by δB where δ is any positive number. We study the problem in learning the value of a function in reproducing kernel Hilbert space (RKHS) by using the available material from Hide with different values of δ. Moreover, we compare our numerical experiment to the method of regularization, which is the standard method for learning problem. We also discuss the effect of the values of δ on the learning task under consideration.
Description: Scopus
URI: https://ir.sc.mahidol.ac.th/handle/123456789/732
ISSN: 17924863
Appears in Collections:Mathematics: International Proceedings

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