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Issued Date

2011-10-31

Resource Type

Article

ISSN

19897251
18893066

Other identifier(s)

2-s2.0-81855217448

Rights

Mahidol University

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SCOPUS

Bibliographic Citation

Jaen Journal on Approximation. Vol.3, No.1 (2011), 87-115

Suggested Citation

Kannika Khompurngson, Charles A. Micchelli Hide. Jaen Journal on Approximation. Vol.3, No.1 (2011), 87-115. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/12135

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Title

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Author(s)

Kannika Khompurngson
 Charles A. Micchelli

Other Contributor(s)

Mahidol University
 University at Albany State University of New York
 City University of Hong Kong

Abstract

In this paper we explore some aspects of the Hypercircle Inequality (Hi) in the context of kernel-based machine learning. We briefly describe Hi and its potential relevance to kernel- based learning when the data is known exactly and then extend it to circumstances where there is known data error (Hide). © 2011 Universidad de Jaén.

Keyword(s)

Mathematics

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https://repository.li.mahidol.ac.th/handle/20.500.14594/12135

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Scopus 2011-2015