Analysis of support vector machines

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 89-98

  Abe, S ^a  

^a KOBE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING; VECTORS;

DUAL PROBLEM; HESSIAN MATRICES; POSITIVE DEFINITE; POSITIVE DEFINITENESS; PRIMAL PROBLEM; SOFT-MARGIN SUPPORT VECTOR MACHINES; SUPPORT VECTOR;

SUPPORT VECTOR MACHINES;

EID: 0141646488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030020     Document Type: Conference Paper

References (6)

1. M. Pontil and A. Verri, "Properties of support vector machines," Neural Computation, Vol. 10, No. 4, pp. 955-974, 1998.
2. R. Rifkin, M. Pontil, and A. Verri, "A note on support vector machine degeneracy," Proceedings of 10th International Conference on Algorithmic Learning Theory, (ALT'99), (Lecture Notes in Artificial Intelligence Vol. 1720), pp. 252-263, 1999.
3. R. Fernández, "Behavior of the weights of a support vector machine as a function of the regularization parameter c," Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN'98), Vol. 2, pp. 917-922, 1998.
4. C. J. C. Burges and D. J. Crisp, "Uniqueness of the SVM solution," In S. A. Solla, T. K. Leen, and K.-R. Müller, Eds., Advances in Neural Information Processing Systems 12, pp. 223-229, The MIT Press, 2000.
5. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, Cambridge, UK, 2000.
6. S. Abe, Pattern Classification: Neuro-fuzzy Methods and Their Comparison, Springer-Verlag, London, UK, 2001.