A fast learning algorithm for one-class support vector machine

Proceedings - Third International Conference on Natural Computation, ICNC 2007

Volumn 1, Issue , 2007, Pages 19-23

  Jia, Jiong ^a   Zhang, Hao Ran ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVERGENCE OF NUMERICAL METHODS; HEURISTIC METHODS; PROBLEM SOLVING; QUADRATIC PROGRAMMING; SUPPORT VECTOR MACHINES;

CLASSIFICATION PROBLEMS; ONE-CLASS SUPPORT VECTOR REGRESSION (OCSVM);

LEARNING ALGORITHMS;

EID: 38049026431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.25     Document Type: Conference Paper

References (7)

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4. Stolfo, S., Wang, K., "One class training for masquerade detection", 3rd IEEE Conference Data Mining Workshop on Data Mining for Computer Security, Florida, 2003
5. Yunqiang, C.H., Xiang, Z.H., and Thomas, S., "One-class svm for learning in image retrieval", Proceedings of IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001
6. Platt, J.C., "Fast training of support vector machines using sequential minimal optimization", In: Scholkopf, B., Burges, C., Smola, A.: Advances in Kernel Methods: Support vector Machines, MIT Press. Cambridge, MA, 1998
7. Martin,M., "On-line Support Vector Machines for Function Approximation", Technical Report LSI-02-11-R, Software Department, Universitat Politecnica de Catalunya, 2002