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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/12135
Title: Hide
Authors: Kannika Khompurngson
Charles A. Micchelli
Mahidol University
University at Albany State University of New York
City University of Hong Kong
Keywords: Mathematics
Issue Date: 31-Oct-2011
Citation: Jaen Journal on Approximation. Vol.3, No.1 (2011), 87-115
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81855217448&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/12135
ISSN: 19897251
18893066
Appears in Collections:Scopus 2011-2015

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