B. Scholkopf, A. Smola and K.R. Muller. Nonlinear component analysis as a kernel eigenvalue problem[J]. Neural computation, 1998, 10(5): 1299--1319.
[2]
G E. Hinton and R R. Salakhutdinov. Reducing the Dimensionality of Data with Neural Networks [J]. Science, 2006, 313: 504--507.
[3]
(GAN L Z. Kernel Learning Algorithms and Ensemble Methods[D]. Hangzhou: Zhejiang University.)
[4]
参考文献 (References)
[5]
范玉刚,李平,宋执环. 基于特征样本的KPCA在故障诊断中的应用[J], 控制与决策. 2005, 20(12): 1415--1419. (Fan Y G., Li P., Song Z H. Online sparse least square support vector machines regression[J]. Control and Decision, 2005, 20(12): 1415--1419.)
[6]
Z. Ge, C. Yang and Z. Song. Improved kernel PCA-based monitoring approach for nonlinear processes[J]. Chemical Engineering Science, 2009, 64(9): 2245--2255.
[7]
V.N. Vapnik. Statistical learning theory. New York: John Wiley and Sons, 1998.
[8]
A. d’ Aspremont, L. El Ghaoui, M I. Jordan, and G R. Lanckriet. A Direct Formulation for Sparse PCA Using Semidefinite Programming[J]. SIAM Rev., 49(3): 434-448, 2007.
[9]
L Z. Gan, H K. Liu and X F. Shen. Sparse Kernel Principal Angles for Online Process Monitoring[J]. Journal of computational Information System. 2010, 6(5): 1601-1608.
[10]
H. Xu and S. Mannor. Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012, 34(1): 187--193.
[11]
D. Opitz and R. Maclin. Popular ensemble methods: an empirical study[J]. Journal of Artificial Intelligence Research. 1999, 11: 169--198.
[12]
L.K. Hansen and P. Salamon. Neural network ensembles[J]. IEEE Trans. Pattern Analysis and Machine Intelligence. 1990, 12 (10): 993-1001.
[13]
甘良志. 核学习算法与集成方法研究[D]. 杭州：浙江大学，2010.
[14]
http://brahms.scs.uiuc.edu
[15]
J.M. Lee, C. Yoo, S.W. Choi, P.A.Vanrolleghem and I.B. Lee. Nonlinear Process Monitoring Using Kernel Principal Component Analysis[J]. Chemical Engineering Science. 2004, 59: 223-234.
[16]
J.J. Downs and E.F. Vogel. A plant-wide industrial process control problem[J]. Computers and Chemical Engineering, 1993, 17(3): 245--255.
[17]
G. Lee, C. Han and E.S. Yoon. Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS[J]. Ind. Eng. Chem. Res. , 2004, 43(25): 8037-8048.
