Selecting support vector candidates for incremental training

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2, Issue , 2005, Pages 1258-1263

  Katagiri, Shinya ^a   Abe, Shigeo ^a  

^a KOBE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER SIMULATION; DATA REDUCTION; PROBLEM SOLVING; VECTORS;

DATA SETS; SUPPORT VECTOR MACHINES (SVM); SUPPORT VECTORS; TRAINING DATA;

DATABASE SYSTEMS;

EID: 27944506847     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. V. Vapnik, "The Nature of Statistical Learning Theory," Springer-Verlag, London, UK, 1995.
2. V. Vapnik, "Statistical Learning Theory," John Wiley & Sons, 1998.
3. P. Mitra, C. A. Murthy and S. K. Pal, "Data Condensation in Large Databases by Incremental Learning with Support Vector Machines," International Conference on Pattern Recognition, pp. 2708-2711, 2000.
4. C. Domeniconi and D. Gunopulos, "Incremental Support Vector Machine Construction," Proc. First IEEE International Conference on Data Mining, pp. 589-592, 2001.
5. G. Cauwenberghs and T. Poggio, "Incremental and Decremental Support Vector Machine Learning," In T. K. Leen, T. G. Dietterich, and V. Tresp, Eds., Advances in Neural Information Proceeding Systems 13, pp. 409-415, MIT Press, Cambridge, MA, 2000.
6. D. M. J. Tax and R. P. W. Duin, "Outliers and Data Descriptions," Proc. Seventh Annual Conference of the Advanced School for Computing and Imaging, pp. 234-241, 2001.