3[1]Vapnik V N. The Nature of Statistical Learning Theory[M]. New York: Springer-Verlag,1995.
4[2]Cortes C, Vapnik V. Support Vector Networks[J]. Machine Learning,1995,20:273-297.
5[4]Burges C J C. A Tutorial on Support Vector Machines for Pattern Recognition[J]. Data Mining and Knowledge Discovery, 1998,2(2):121-167.
6[5]Osuna E, Freund R, Girosi F. Training Support Vector Machines: An Application to Face Detection[A]. Proceedings of IEEE Conference on CVPR'97[C].Puerto Rico,1997.130-136.
7[6]Joachims T. Making Large-Scale SVM Learning Practical[A]. Advances in Kernel Methods: Support Vector Learning[C].Cambridge, MA: MIT Press,1999.
8[7]Platt J C. Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines[A]. Advances in Kernel Methods: Support Vector Learning[C].Cambridge, MA: MIT Press,1999.185-208.
9[8]Keerthi S S. Improvements to Platt's SMO Algorithm for SVM Classifier Design[J].Neural Computaion,2001,13(3):637-649.
10[9]Chih Wei Hsu, Chih Jen Lin.A Simple Decomposition Method for Support Vector Machines[J]. Machine Learning, 2002,46 (1):291-314 .
