1. Cortes, C., Vapnik, V.: Support-vector network. In: Machine Learning, vol. 20, pp. 273–297 (1995)
2. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
3. Bottou, L., Cortes, C., Denker, J., Drucker, H., Guyon, I., Jackel, L., LeCun, L., Muller, U., Sackinger, E., Simard, P., Vapnik, V.: Comparison of classifier methods: A case study in handwriting digit recognition. In: Proc. Int. Conf. Pattern Recognition., pp. 77–87 (1994)
4. Knerr, S., Personnaz, L., Dreyfus, G.: Single-layer learning revisited: A stepwise procedure for building and training a neural network. In: Fogelman, J. (ed.) Neurocomputing: Algorithms, Architectures and Applications, Springer, New York (1990)
5. Platt, Cristianini, N., Shawe-Taylor, J.: Large margin DAG’s for multiclass classification. Advances in Neural Information Processing Systems 12, 547–553 (2000)