Approach to training support vector machine

Journal of Systems Engineering and Electronics

Volumn 17, Issue 1, 2006, Pages

  Tang, Faming ^a   Chen, Mianyun ^a   Wang, Zhongdong ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Particle swarm optimization; Quadratic programming problem; Support vector machine

Indexed keywords

MACHINE LEARNING TASK; PARTICLE SWARM OPTIMIZATION; QUADRATIC PROGRAMMING PROBLEM; SUPPORT VECTOR MACHINE;

CLASSIFICATION (OF INFORMATION); DATA MINING; OPTIMIZATION; PATTERN RECOGNITION; QUADRATIC PROGRAMMING; REGRESSION ANALYSIS; TESTING; VECTORS;

LEARNING SYSTEMS;

EID: 33646745177     PISSN: 16711793     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Vaprik V. Statistical learning theory. New York: Wiley, 1998.
2. Platt J C. Fast training of SVMs using sequential minimal optimization. In Scholkopf B, Burges C, Smola A (Eds.). Advances in kernel methods: support vector learning. MIT Press, 1998: 185-208.
3. Williams C K I, Seeger M. Using the Nystrom method to speed up kernel machines. Advances in Neural Information Processing Systems, 2001, 13: 682-688.
4. Tipping M E, Faul A. Fast marginal likelihood maximization for sparse Bayesian models. Proc. Int'l Workshop AI and Statistics, 2003.
5. Burges C J C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 1998, 2(2): 1-47.
6. Kennedy J, Eberhart R. Particle swarm optimization. IEEE Int. Conf. Neural Networks, 1995, IV: 1942-1948.
7. Friess T T, Cristianini N, Campbell C. The kernel Adatron algorithm: a fast and simple learning procedure for support vector machines. 15th Intl. Conf. Machine Learning, Morgan Kaufman Publishers, 1998: 188-196.
8. Luenberger D. Linear and nonlinear programming. Addison-Wesley, 1984.
9. Qsuna E, Girosi F. Reducing the run-time complexity in support vector machines. Scholkopf B, Burges C, Smola A (Eds.), Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge, MA, 1999: 271-284.
10. Chang Chih-Chung, Lin Chih-Jen. LIBSVM (V2.6): http://www.csie.ntu.edu.tw/-cjlin/libsvm/index.html, 2003.
11. Blake C L, Merz C J. UCI Repository of machine learning databases, http://www.ics.uci.edu/mleam/MLRepository.html. Irvine, CA: University of California. 1998.