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Charles A. Micchelli
University at Albany State University of New York
City University of Hong Kong
|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.|
|Appears in Collections:||Scopus 2011-2015|
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