Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9(3): 293~300.
[2]
焦李成 张莉 等.支撑矢量预选取的中心距离比值法[J].电子学报,:.
[3]
Platt J C. Fast algorithm for training support vector machines using Sequential minimimal optimization [A]. In: Advance in kernel methods-support vector learning [M] , Scholkopf B, Burges C J C,Smola A J, editors, Combridge, MA, USA: MIT Press, 1999:185~208.
[4]
Hu W J, Song Q. An accelerated decomposition algorithm for robust support vector machines [J]. IEEE Transactions on Circuits and Systems-II: Express Briefs, 2004, 51 (5) :234~240.
[5]
Joachims T. Making large-scale support vector machine learning practical[ A ]. In: Advance in kernel methods-support vector learning [M], Scholkopf B, Burges C J C, Smola A J, editors, Cambridge,MA, USA: MIT Press, 1999:169~184.
[6]
Lin Kuan-Ming, Lin Chih-Jen. A study of reduced support vector machines [J]. IEEE Transactions on Neural Networks, 2003,14(6) :1449~1459.
Sha F,Saul L K,Lee D D. Multiplicatve updates for nonnegative quadratic programming in support vector machines[EB/OL]. http:∥www. cs. cmu.edu/groups/NIPS/NIPS2002/NIPS2002 preproceedings/papers/AA71. htm1, 2002-07-15.