Rosipal R, Trejo L J. Kernel partial least squares regression in reproducing kernel hilbert space [J]. Journal of Machine Learning Research, 2001,2 ( 12 ) : 97- 123.
[8]
Rosipal R, Trejo L J, Wheeler K. Locally-Based Kernal PLS Smoothing to Non-Parametric Regression Curve Fitting. Download from: http://www. ofai. at/- roman.rosipal/Papers/wp03.pdf.
[9]
Rosipal R. Kernel partial least squares for nonlinear regression and discrimination [J]. Neural Networks World,2003, 13(3 ) :291-300.
[10]
Momma M, Bennett K P. Sparse Kernel Partial Least Squares Regression [M]. Lecture Notes Computer Science, 2003,2777 : 216-230.
[11]
Tenenhaus A, Giron A, Viennet E, et al. Kernel logistic PLS : A tool for supervised nonlinear dimensionality reduction and binary classification[J]. Computational Statistics & Data Analysis ,2007,51 (9) :4083-4100.
Rosipal R, Trejo L J, Matthews B. Kernel PLS-SVC for Linear and Nonlinear Classification [C]. In : Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) , Washington DC, 2003, Download from: http://www. hpl. hp. com/conferences/icml2003/papers/110. pdf.
[14]
Taylor J S, Cristianini N. Kernel Methods for Pattern Analysis[M]. Cambridge University Press, Cambridge, England, 2004,187-192.