1. Xu, J., Zhang, X., Li, Y.: Kernel MSE algorithm: a unified framework for KFD, LS-SVM and KRR. In: International Joint Conference on Neural Networks 2001, Washington DC, USA, pp. 1486–1491 (2001)
2. Billings, S.A., Lee, K.L.: Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm. Neural Netw. 15(2), 263–270 (2002)
3. Zhu, Q.: Reformative nonlinear feature extraction using kernel MSE. Neurocomputing 73(16), 3334–3337 (2010)
4. Muller, K.R., Mika, S., Ratsch, G., Tsuda, K., et al.: An introduction to kernel-based learning algorithms. IEEE Trans. Neural Netw. 12(2), 181–201 (2001)
5. Jenssen, R.: Kernel entropy component analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32(5), 847–860 (2010)