Parameters selection of hybrid kernel based on GA

2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Volumn , Issue , 2009, Pages

  Meng, Y Y ^a  

^a SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Genetic algorithm; Hybrid kernel; Support vector machines

Indexed keywords

BENCHMARK DATA; FITNESS FUNCTIONS; HYBRID KERNEL; PARAMETERS SELECTION; PATTERN CLASSIFICATION; REGRESSION ESTIMATION;

FUNCTION EVALUATION; GENETIC ALGORITHMS; IMAGE RETRIEVAL; INTELLIGENT SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 70349544023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2009.5072997     Document Type: Conference Paper

References (9)

1. V. N. Vapnik, The Nature of Statistical Learning Theory, 2nd ed., Springer, New York, 2000.
2. G.F. Smits, and E.M. Jordaan, "Improved SVM Regression using Mixtures of Kernels," IEEE Proceeding of IJCNN 02 on Neural Networks, Hawaii, 2002, pp. 2785-2790.
3. C.W. Hsu, and C.J. Lin, "A simple decomposition method for support vector machine," Machine Learning, 2002, 46(1-3), pp. 219-314.
4. O. Chapelle, and V.N. Vapnik, "Choosing Multiple Parameters for Support Vector Machines," Machine Learning, 2002, 46(1), pp. 131-159.
5. N. E. Ayat, M. Cheriet, and C.Y. Suen, "KMOD - A Two - parameter SVM Kernel for Pattern Recognition," IEEE Proceeding of 16th International Conference on Pattern Recognition, 2002, pp. 331-334.
6. N. Cristianini, and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, 2000.
7. J. H. Holland, Adaptation in Natural and Artificial Systems, 2nd ed., Michigan: University of Michigan Press, 1992.
8. T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently," Proceedings of the ICML-00, Morgan Kaufman Publisher, San Francisco, CA, USA, 2000, pp.431-438.
9. A. Lunts, and V. Brailovskiy, "Evaluation of Attributes Obtained in Statistical Decision Rules," Engineering Cybernetics, 3, 1967, pp. 98-109.