Author:
Guo Yang-ming,Ran Cong-bao,Li Xiao-lei,Ma Jie-zhong
Publisher
Zhejiang University Press
Reference25 articles.
1. Cawley, G.C., Talbot, N.L.C., 2002. Reduced rank kernel ridge regression. Neur. Process. Lett., 16(3):293–302. [doi:10.1023/A:1021798002258]
2. Chen, A.J., Song, Z.H., Li, P., 2007. Modeling method of least squares support vector regression based on vector base learning. Control Theory Appl., 24(1):1–5 (in Chinese).
3. Chen, S.L., Chen, G., Xue, H., 2011. Research on sparsification approach for least squares support vector machine classification. Comput. Eng., 37(22):145–147, 150 (in Chinese).
4. Cowen, C.C., 1996. Linear Algebra for Engineering and Science. Indiana West Pickle Press, West Lafayette, USA, p.124–265.
5. de Kruif, B.J., de Vries, T.J.A., 2003. Pruning error minimization in least squares support vector machines. IEEE Trans. Neur. Networks, 14(3):696–702. [doi:10.1109/TNN.2003.810597]
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