1. Bennett, K.P.: Combining Support Vector and Mathematical Programming Methods for Classification. In: Schölkopf, B., Burges, C.J.C., Smola, A.J. (eds.): Advances in Kernel Methods-Support Vector Learning. MIT Press, Cambridge, MA (1999) 34
2. Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining And Knowledge Discovery 2 (1998) 1–47 32, 35
3. Cortes, C., Vapnik, V.: Support Vector Networks. Machine Learning 20 (1995) 273–297 32, 34
4. Friedman, J.H.: Another Approach to Polychotomous Classification. Tech. Report, Dept. Statistics, Stanford Univ. (1996) 34
5. Kreßel, U.: Pairwise classification and support vector machines. In: Schölkopf, B., Burges, C.J.C., Smola, A.J. (eds.): Advances in Kernel Methods-Support Vector Learning. MIT Press, Cambridge, MA(1999) 34