Fuzzy support vector machines for solving two-class problems

International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2003, Pages 1080-1083

  Tsang, Eric C C ^a   Yeung, Daniel S ^a   Chan, Patrick P K ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA HANDLING; FUZZY CONTROL; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; NONLINEAR SYSTEMS; QUADRATIC PROGRAMMING; VECTORS;

STATISTICAL LEARNING THEORY (SLT); SUPPORT VECTOR MACHINES (SVM);

PROBLEM SOLVING;

EID: 1542286080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Vapnik V.N. and Chervnoenkis A. Ja., On the uniform convergence of relative frequencies of events to their probabilities, Rep. Academy Sci. USSR pp.181, No. 4. 1968.
2. Vapnik, V. N., "The Nature of Statistical Learning Theory", Springer-Verlag, New York, 1995.
3. Krebel, U. H.G., "Pairwise classification and support vector machines", in B. Scholkopf, C.J. C. Burges, & A. J. Smolta (Eds.), Advances in kernel methods: support vector learning, pp. 255-268, Cambridge, MAL MIT Press.
4. Chun-Fu Lin and Sheng-De Wang, "Fuzzy support vector machines", IEEE Transactions on Neural Networks, Vol. 13, No. 2, March 2002, pp. 464-471.
5. Inoue, T. and Abe, S. "Fuzzy support vector machines for pattern classification", International Joint Conference on Neural Networks, Vol. 2, 15-19 July 2001, pp. 1449-1454.
6. Danisuke Tsujinishi and Shigeo Abe, "Fuzzy least squares support vector machines for multiclass problems, Neural Networks, 16, 2003, pp. 785-792.