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Learning the value of a function from inaccurate data with different error tolerance of data error

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dc.contributor.authorK. Khompurngsonen_US
dc.contributor.authorB. Novaprateepen_US
dc.contributor.authorD. Poltemen_US
dc.contributor.otherUniversity of Phayaoen_US
dc.contributor.otherPERDOen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherBurapha Universityen_US
dc.date.accessioned2018-06-11T04:45:06Z
dc.date.available2018-06-11T04:45:06Z
dc.date.issued2012-12-01en_US
dc.description.abstractAbstract-The intend of learning problem is to identify the best predictor from given data. Specifically, the well-known hypercircle inequality was applied to kernel-based machine learning when data is know exactly. In our previous work, this lead us to extend it to circumstance for which data is known within error. In this paper, we continues the study of this subject by improving the hypothesis of nonlinear optimization problem which is used to obtain the best predictor. In additional, we apply our results to special problem of learning the value of a function from inaccurate data with different error tolerance of data error.en_US
dc.identifier.citationInternational Journal of Mathematics and Computers in Simulation. Vol.6, No.6 (2012), 513-520en_US
dc.identifier.issn19980159en_US
dc.identifier.other2-s2.0-84875699870en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/14027
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875699870&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleLearning the value of a function from inaccurate data with different error tolerance of data erroren_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875699870&origin=inwarden_US

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