A class-incremental learning method for multi-class support vector machines in text classification

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

Volumn 2006, Issue , 2006, Pages 2581-2585

  Zhang, Bo Feng ^a   Su, Jin Shu ^a   Xu, Xin ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Class incremental learning; Feature selection; Internet information filtering; Machine learning; Support vector machines; Text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; INFORMATION ANALYSIS; INTERNET; MATHEMATICAL MODELS; PROBLEM SOLVING;

CLASS INCREMENTAL LEARNING; INTERNET INFORMATION FILTERING; TEXT CLASSIFICATION;

SUPPORT VECTOR MACHINES;

EID: 33947269414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258853     Document Type: Conference Paper

References (10)

1. Sebastiani F., "Machine learning in automated text categorization", ACM Computing Surveys. Vol 34 No. 1, pp. 1-47, 2002.
2. Joachims T., "Text categorization with support vector machines: learning with many relevant features", Proceedings of ECML-98, Chemnitz, Germany pp.137-142, 1998.
3. Volkan V., Jennifer G. Dy, "A hierarchical methods for multi-class Support Vector Machines", Proceeding of ICML-04 Conference, Banff, pp. 105-112, 2004.
4. Cauwenberghs G., Poggio T., "Incremental and Decremental Support Vector Machine Learning", NIPS 2000, pp. 409-415, MIT Press, 2000.
5. Fine S., Scheinberg K., "Incremental learning and selective sampling via parametric optimization framework for SVM", Advances in Neural Information Processing Systems 14, pp. 705-711, MIT Press, 2002.
6. Syed N. A., Liu H., Sung, K., "Incremental learning with support vector machines", Proceedings of IJCAI-99, Stockholm, Sweden, 1999.
7. Ralaivola L., d'Alch-Buc F., "Incremental Support Vector Machine learning: a local approach", Georg Dorffner Horst Bischof, Kurt Hornik (Eds.): Lecture Notes in Computer Science 2130, pp. 322-330, Springer, Vienna, Austria, 2001.
8. Lewis D. D., "Reuters-21578 text categorization tests collection. Distribution 1.0.199", available at http://www.daviddlewis.com/resources/ testcollections/reuters21578/readme.txt
9. Chang C., Lin C., "LIBSVM: a library for support vector machines", software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
10. Castillo M. D., Serrano J. I., "A multi-strategy approach for digital text categorization from imbalanced documents", ACM SIGKDD Explorations Newsletter. Vol 6, No. 1, pp. 70-79, 2004.