A redundant incremental learning algorithm for SVM

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 2, Issue , 2008, Pages 734-738

  Wang, Wen Jian ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Classification; Incremental learning; Redundant vector; Support vector machine

Indexed keywords

BENCHMARKING; CONTROL THEORY; CYBERNETICS; EDUCATION; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; ROBOT LEARNING; SUPPORT VECTOR MACHINES;

BENCHMARK DATUMS; CLASSIFICATION; GENERALIZATION PERFORMANCES; INCREMENTAL LEARNING; INCREMENTAL TECHNIQUES; PATTERN CLASSIFICATION PROBLEMS; PATTERN CLASSIFICATIONS; REDUNDANT VECTOR; SUPPORT VECTOR MACHINE;

VECTORS;

EID: 57849130737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620501     Document Type: Conference Paper

References (12)

1. Barzilay O. and Brailovsky V. "On domain knowledge and feature selection using a support vector machine", Pattern Recognition Letters, Vol. 20, pp. 475-484, 1999.
2. Brown M., Grundy W., Lin D., Cristianini N., Sugnet C., Furey T., Ares M. and Haussler D. "Knowledge-based analysis of microarray gene expression data by using support vector machines", Proceedings of The National Academy of Sciences of The United States of America, Vol. 97, pp. 262-267, 2000.
3. Cristianini N. and Shawe-Taylor J. An Introduction to Support Vector Machines, Cambridge University Press, 2000.
4. Domeniconi C. and Gunopulos D. "Incremental support vector machine construction", Proceedings of IEEE International Conference on Data Mining, pp. 589-592, 2001.
5. Drucker H., Wu D. and Vapnik V. "Support vector machines for span categorization", IEEE Trans. on Neural Networks, Vol. 10, pp. 1048-1054, 1999.
6. Joachims T. "Text categorization with support vector machines: Learning with many relevant features", Proceedings of the European Conference on Machine Learning, Springer, Berlin, 1998.
7. Mitra P., Murthy C. A. and Pal S. K. "Data condensation in large databases by incremental learning with support vector machines", International Conference on Pattern Recognition, 2000.
8. Syed N. A., Liu H. and Sung K. K. "Incremental learning with support vector machines", International Joint Conference on Artificial Intelligence, 1999.
9. Vapnik V. The Nature of Statistical Learning Theory. John Wiley and Sons, New York, USA. 1995.
10. Vapnik V. Statistical Learning Theory. John Wiley & Sons, 1998.
11. Vapnik V, Golowich S. and Smola A. Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing. Neural Information Processing Systems. Vol. 9, MIT Press, Cambridge, MA, 1997.
12. Wang W. J., Xu Z. B., Lu W. Z. and Zhang X. Y. "Determination of the spread parameter in the Gaussian kernel for classification and regression", Neurocomputing, Vol. 55, No. (3-4), pp. 643-663, 2003.