Approximating semi-structure data with different errors using support vector machine regression

Crampton, Andrew, Mason, John C. and Turner, D.A. (2001) Approximating semi-structure data with different errors using support vector machine regression. In: Mathematical methods for curves and surfaces. Innovations in applied mathematics . Vanderbilt University Press, Nashville, pp. 63-72. ISBN 9780826513786

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Item Type:	Book Chapter
Additional Information:	Refereed proceedings of Mathematical Methods for Curves and Surfaces, Oslo, 2000
Subjects:	T Technology > TJ Mechanical engineering and machinery Q Science > QA Mathematics
Schools:	School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge ?? tserg ?? School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:	Author Author
Depositing User:	Cherry Edmunds
Date Deposited:	15 Oct 2008 14:16
Last Modified:	28 Aug 2021 10:42
URI:	http://eprints.hud.ac.uk/id/eprint/2225

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