SVM Learning from Large Training Data Set

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2003, Pages 2860-2865

  Murphey, Yi Lu ^a   Chen, ZhiHang ^a   Putrus, May ^a   Feldkamp, Lee ^b  

^a UNIVERSITY OF MICHIGAN DEARBORN   (United States)

^b FORD MOTOR COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PROBLEM SOLVING; VECTORS;

DATA SET;

LEARNING SYSTEMS;

EID: 0141480914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. [BGV92] B. E. Boser, I. M. Guyon, and V. Vapnik, "A training algorithm for optimal margin classifiers," In ACM Fifth Annual Workshop on Computational Learning theory, Pittsburgh, 1992.
2. [Bur98] C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998.
3. [ChL01] C.-C. Chang and C.-J. Lin. IJCNN 2001 Challenge: Generalization Ability and Text Decoding, Proceedings of IJCNN, July 2001.
4. [FeP98] L. A. Feldkamp and G. V. Puskorius, "A Signal Processing Framework Based on Dynamic Neural Networks with Application to Problems in Adaptation, Filtering, and Classification," Proceedings of the IEEE, vol. 86, no. 11, pp. 2259-2277, 1998.
5. [LeL00] J.-H. Lee and C.-J. Lin. Automatic model selection for support vector machines, November 2000.
6. [OFG97] E. Osuna, R. Freund, F. Girosi, "Improved training algorithm for support vector machines," Proceedings of the 1997 7th IEEE Workshop on Neural Networks for Signal Processing, NNSP'97 Amelia Island, FL, USA 19970924-19970926 IEEE
7. [TAP98] R. Tawel, N. Aranki, G. V. Puskorius, K. A. Marko, L. A. Feldkamp, J. V. James, G. Jesion and T. M. Feldkamp, "Custom VLSI ASIC for Automotive Applications with Recurrent Networks," Proceedings of the 1998 International Joint Conference on Neural Networks, Vol. 1, pp. 598-602, 1998.
8. [Vap82] Vladimir Vapnik, "Estimation of Dependences Based on Empirical Data," Springer Verlag, New York, 1982
9. [Vap95] V_ Vapnik, The Nature of Statistical Learning Theory, Springer, New York, 1995