Convergence of the IRWLS procedure to the support vector machine solution

Neural Computation

Volumn 17, Issue 1, 2005, Pages 7-18

  Pérez Cruz, Fernando ^a,b   Bousoño Calzón, Carlos ^b   Artés Rodriguez, Antonio ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; MATHEMATICAL COMPUTING; REGRESSION ANALYSIS;

ALGORITHMS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; REGRESSION ANALYSIS;

EID: 14544283334     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/0899766052530875     Document Type: Article

References (12)

1. Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2), 121-167.
2. Mangasarian, O. L., & Musicant, D. R. (2000). Lagrangian support vector machines. Journal of Machine Learning Research, 1, 161-177.
3. Nocedal, J., & Wright, S. J. (1999). Numerical optimization. New York: Springer.
4. Pérez-Cruz, F., Alarcón-Diana, P. L., Navia-Vázquez, A., & Artés-Rodríguez, A. (2000). Fast training of support vector classifiers. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural information processing systems, 13, Cambridge, MA: MIT Press.
5. Pérez-Cruz, F., Navia-Vázquez, A., Alarcón-Diana, P. L., & Artés-Rodríguez, A. (2000). An IRWLS procedure for SVR. In Proceedings of the EUSIPCO'00. Tampere, Finland.
6. Pérez-Cruz, F., Navia-Vázquez, A., Alarcón-Diana, P. L., & Artés-Rodríguez, A. (2001). SVC-based equalizer for burst TDM A transmissions. Signal Processing, 81(8), 1681-1693.
7. Pérez-Cruz, F., Navia-Vázquez, A., Rojo-Álvarez, J. L., & Artés-Rodríguez, A. (1999). A new training algorithm for support vector machines. In Proceedings of the Fifth Bayona Workshop on Emerging Technologies in Telecommunications (pp. 116-120). Baiona, Spain.
8. Schölkopf, B., & Smola, A. (2001). Learning with kernels. Cambridge, MA: MIT Press.
9. Suykens, J. A. K., Van Gestel, T., De Brabanter, J., De Moor, B., & Vandewalle, J. (2003). Least squares support vector machines. Singapore: World Scientific.
10. Suykens, J. A. K., & Vandewalle, J. (1999). Least squares support vector machine classifiers. Neural Processing Letters, 9(3), 293-300.
11. Van Gestel, T., Suykens, J. A. K., Baesens, B., Vanthienen, S., Dedene, G., De Moor, B., & Vandewalle, J. (2004). Benchmarking least squares support vector machines classifiers. Machine Learning, 54(1), 5-32.
12. Vapnik, V. N. (1998). Statistical learning theory. New York: Wiley.