Recursive update algorithm for least squares support vector machines

Neural Processing Letters

Volumn 17, Issue 2, 2003, Pages 165-173

  Chi, Hoi Ming ^a   Ersoy, Okan K ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Classification; Least squares support vector machines; Recursive algorithm; Support vector machines

Indexed keywords

LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; VECTORS;

SUPPORT VECTOR MACHINES (SVM);

ALGORITHMS;

EID: 0037497947     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1023634220639     Document Type: Article

References (11)

1. Vapnik, V.: The Nature of Statistical Learning Theory. Springer-Verlag, New York, 1995.
2. Suykens, J. A. K. and Vandewalle, J.: Least squares support vector machine classifiers, Neural Processing Letters, 9(3) Jun. (1999) pp. 293-300.
3. Fletcher, R.: Practical Methods of Optimization. John Wiley and Sons, New York, 1987.
4. Chong, E. K. P. and Zak, S. H.: An Introduction to Optimization. John Wiley and Sons, New York, 1996.
5. Suykens, J. A. K., Lukas, L. and Vandewalle, J.: Sparse least squares support vector machine classifiers, In: Proc. of the European Symposium on Artificial Neural Networks (ESANN'2000), pp. 37-42, Bruges, Belgium, 2000.
6. Van Gestel, T., Suykens, J. A. K., Baesens, B., Viaene, S., Vanthienen, J., Dedene, G., De Moor, B. and Vandewalle, J.: Benchmarking least squares support vector machine classifiers, Internal Report 00-37, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2000.
7. Mika, S., Smola, A. and Scholkopf, B.: An improved training algorithm for kernel Fisher discriminants, In: Proc. of Eighth International Workshop on Artificial Intelligence and Statistics (AIST ATS 2001), Key West, Florida, January 2001.
8. Cowen, C. C.: Linear Algebra for Engineering and Science. Second preliminary edition. West Pickle Press, West Lafayette, Indiana, 1996.
9. Datta, B. N.: Numerical Linear Algebra and Applications. Brooks/Cole Publishing Company, Pacific Grove, California, 1994.
10. Suykens, J. A. K., Lukas, L., Van Dooren, P., De Moor, B. and Vandewalle, J.: Least squares support vector machine classifiers: a large scale algorithm, In: Proc. of the European Conference on Circuit Theory and Design (ECCTD'99), pp. 839-842, Stresa, Italy, Sep. 1999.
11. Murphy, P. M. and Aha, D. W.: UCI Repository of Machine Learning Databases [Machine Readable Data Repository], University of California, Department of Information and Computer Science, Irvine, California, 1996.