1N. Vapnik. The Nature of Statistical Learning Theory[M].New York : Springer-Verlag, 1995.
2Osuna E, Freund R, Girosi F. Training Support Vector Machines: An Application to Face Detection[A].Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition[C].San Juan, Puerto, Rico, 1997.
7Cortes C., V. Vapnik. Support vector networks [ J ]. Machine Learning, 1995,20(3) :273 - 297.
8Vapnik V. The Nature of Statistical Learning Theory[M]. Springer - Verlag, New York, 1995.
9Smola A.and B.Scholkopf. On a Kernel- based Method for Pattern Recognition, Regression, Approximation and Operator Inversion [ R ] . GMD Technical Report No. 1064,1997.
10Smola A J,Scholkopf B.A tutorial on support vector regression[ R ]. Neuro COLT Tech. Rep. TR 1998 - 030,Royal Holloway College, London, U. K, 1998.
5Altman,E.I.,Marco,G,Varetto,F.Corporate distress diagnosis:Comparisons using linear discriminate analysis and neural network[J].Journal ofBanking and Finance,1994,(18):505-529.
6Coats,.P,Fant,F.(1993),Recognizing financial distress patents using aneural network tool[J].Financial Management,1993,22(3):142-155.
7N.Vapnik.The Nature of Statistical Learning Theory[M].New York:Springer-Verlag,1995.
