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The use of hide in learning the value of a function

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dc.contributor.authorK. Khompurngsonen_US
dc.contributor.authorD. Poltemen_US
dc.contributor.authorA. Yamaraten_US
dc.contributor.authorB. Novaprateepen_US
dc.contributor.otherPhayao Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherSouth Carolina Commission on Higher Educationen_US
dc.date.accessioned2018-09-24T08:56:40Z
dc.date.available2018-09-24T08:56:40Z
dc.date.issued2010-12-01en_US
dc.description.abstractIn 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.en_US
dc.identifier.citationInternational Conference on Applied Computer Science - Proceedings. (2010), 193-197en_US
dc.identifier.issn17924863en_US
dc.identifier.other2-s2.0-79958729430en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/28990
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958729430&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleThe use of hide in learning the value of a functionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958729430&origin=inwarden_US

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