1. Intelligent Data Analysis (IDA) repository,
http://ida.first.gmd.de/~raetsch
2. Burges, C.J.C.: Simplified Support Vector Decision Rule. In: 13th Intl. Conf. on Machine Learning, San Mateo, pp. 71–77. Morgan Kaufmann, San Francisco (1996)
3. Golub, G.H., van Loan, C.F.: Matrix Computations, 3rd edn. John Hopkins University Press, Baltimore (1996)
4. Mika, S., Rätsch, G., Müller, K.R.: A Mathematical Programming Approach to the Kernel Fisher Algorithm. In: NIPS, pp. 591–597 (2000)
5. Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Müller, K.R.: Fisher Discriminant Analysis with Kernels. In: Hu, Y.-H., Larsen, J., Wilson, E., Douglas, S. (eds.) Neural Networks for Signal Processing IX, pp. 41–48. IEEE, Los Alamitos (1999)