New Least Squares Support Vector Machines Based on Matrix Patterns
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-007-9041-1.pdf
Reference16 articles.
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2. Vapnik V (1998) Statistical learning theory. John Wiley, New York
3. Vapnik V (1998) The support vector method of function estimation. In: Suykens AK, Vandewalle J (eds) Nonlinear modeling: advanced black-box techniques. Kluwer Academic Publishers, Boston, pp 55–85
4. Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9:293–300
5. Suykens JAK, Van Gestel T, De Brabanter J, De Moor B, Vandewalle J (2002) Least squares support vector machines. World Scientific, Singapore (ISBN 981-238-151-1)
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