6[1]Thorsten J. Text categorization with support vectormachines: learning with many relevant features [A]. Proceedings of ECML′98 [C]. Berlin: Springer,1998.
7[2]Dumais S, Platt J, Heckerman D, et al. Inductive learning algorithms and representations for text categorization [A]. In Proceedings of ACM-CIKM98 [C]. Bethesda: ACM,1998.
8[3]Vapnik V. The Nature of Statistical Learning Theory [M]. New York: Springer,1995.
9[4]Suykens J A K, Vandewalle J. Least squares support vector machine classifiers [J]. Neural Processing Letters,1999,9(3) :293-300.
10[5]Suyken J A K, Lusas L,Van D P, et al. Least squares support vector machine classifiers: a large scale algorithm [A]. In Proceedings of the European Conference on Circuit Theory and Design (ECCTD 99) [C]. Italy: Stresa,1999.
7Huang G R. Cost modeling based on support vector regres-sion during the design phase [ D ]. USA:Virginia Polytech- ] nic Institute and State University,2007.
8蒋铁军.基于核方法的武器装备费用预测研究[D].武汉:海军工程大学,2007.
9Smits G F, Jordaan E M. Improved SVM regression using mixtures of kernels [ C ]//Girolami M. Proceedings of IJC- NN 02 on Neural Networks. Piscataway, NJ:IEEE Press, 2002:2785 - 2790.