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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Title:

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

Creators:

Crampton, Andrew, Mason, John C. and Turner, D.A.

Editors:

Lyche, Tom and Schumaker, Larry L.

Official URL:

http://www.vanderbiltuniversitypress.com/bookdetai...

Date:

July 2001

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
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group

Additional Information:

Refereed proceedings of Mathematical Methods for Curves and Surfaces, Oslo, 2000

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Book Chapter

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Date Deposited:

15 Oct 2008 14:16

Revision:

14

Last Modified:

28 Aug 2021 10:42

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