Incremental nonlinear proximal support vector machine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4493 LNCS, Issue PART 3, 2007, Pages 336-341

  Liu, Qiuge ^a,b   He, Qing ^a,b   Shi, Zhongzhi ^a,b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA STRUCTURES; E-LEARNING; ONLINE SYSTEMS; PROBLEM SOLVING;

NONLINEAR CLASSIFIERS; ONLINE LEARNING;

SUPPORT VECTOR MACHINES;

EID: 38049172858     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72395-0_43     Document Type: Conference Paper

References (8)

1. Fung, G., Mangasarian, O.: Proximal Support Vector Machine Classifiers. Proceedings KDD-2001, Knowledge Discovery and Data Mining, San Francisco, CA (2001)
2. Fung, G., Mangasarian, O.: Incremental Support Vector Machine Classification. Data Mining Institute Technical Report 01-08, Computer Sciences Department, University of Wisconsin (2001)
3. Fung, G., Mangasarian, O.: Multicategory Proximal Support Vector Machine Classifiers. Machine Learning 59 (2005) 77-97
4. Wu, J., Zhou, J. G., Yan, P.L.: Incremental Proximal Support Vector Classifier for Multi-Class Classification. Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai (2004)
5. Lee, Y.J., Mangasarian, O.: RSVM: Reduced Spport Vector Machines. Proceeding of the First SLAM International Conference on Data Mining (2001)
6. Suykens, J., Vandewalle, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9 (1999) 293-300
7. Vapnik, V.: The Nature of Statistical Learning Theory. Springer-Verlag, New York (1995)
8. Zhang, H.R.,Wang, X.D.: Incremental and Online Learning Algorithm for Regression Least Squares Support Vector Machine. Chinese Journal of Computers 29 (3) (2006) 400-406