CSO-based feature selection and parameter optimization for support vector machine

2009 Joint Conferences on Pervasive Computing, JCPC 2009

Volumn , Issue , 2009, Pages 783-788

  Lin, Kuan Cheng ^a   Chien, Hsu Yu ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Cat swarm optimization; Feature selection; Parameter determination; Support vector machines

Indexed keywords

CAT SWARM OPTIMIZATION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; COMPUTATIONAL TIME; DATA CLASSIFICATION; DATA CLASSIFICATION PROBLEMS; FEATURE SELECTION; FEATURE SUBSET; KERNEL PARAMETER; PARAMETER DETERMINATION; PARAMETER OPTIMIZATION; REDUNDANT DATA; SVM CLASSIFIERS; SVM MODEL; SWARM OPTIMIZATION; UCI MACHINE LEARNING REPOSITORY;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMBINED SEWERS; EVOLUTIONARY ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION; GEARS; MULTILAYER NEURAL NETWORKS; STRUCTURAL OPTIMIZATION;

SUPPORT VECTOR MACHINES;

EID: 77951263656     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCPC.2009.5420080     Document Type: Conference Paper

References (11)

1. V. Vapnik and C. Cortes, "Support-Vector Networks," Machine Learning, vol.20, no.3, 1995, pp.273-297.
2. I. H. Osman and G. Laporte, "Metaheuristics: A Bibliography," Annals of Operations Research, vol.63, 1996, pp.513-623.
3. L. Davis, "Handbook of Genetic Algorithms," Van Nostrand Reinhold, New York, 1991.
4. W. S. Goldstein, "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization," I-Tech Education and Publishing, Vienna, Austria, 2007.
5. S. C. Chu and P. W. Tsai, "Computational Intelligence Based on the Behavior of Cats," International Journal of Innovative Computing, Informationand Control, vol.3, no.1, 2007, pp.163-173.
6. C. W. Hsu, C. C. Chang, and C. J. Lin, "A Practical Guide to Support Vector Classification," Available at: http://www.csie.ntu.edu.twl-cjlin/ papers/guide/guide.pdt: 2003.
7. S. Liu, C. Y. Jia and H. Ma, "A New Weighted Support Vector Machine with GA-based Parameter Selection," Proceedings of the 4th International Conference on Machine Learning and Cybernetics, vol.7, 2005, pp.4351-4355. (Pubitemid 41734678)
8. C. L. Huang and C. J. Wang, "A GA-based Feature Selection and Parameters Optimization for Support Vector Machines," Expert Systems with Application, vol.31, no.2, 2006, pp.231-240. (Pubitemid 44294444)
9. S. Hettich, C. L. Blake, and C. J. Merz, "UCI Repository of Machine Learning Databases," Department of Information and Computer Science, University of California, Irvine, CA, AvailabIe at: http//www.ics.uci.edu/ ~mlearn/MLRepository.html, 1998.
10. C. C. Chang and C. J. Lin, "LIBSVM: A Library for Support Vector Machines," Available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm.
11. S. L. Salzberg, "On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach," Sensors and Actuators B Chemical, vol.1, 1997, pp.317-327.