1. V. N. Vapnik, Statistical Learning Theory, Wiley, New York (1998).
2. B. Schoelkopf and A. J. Smola, Learning with Kernels. Support Vector Machines, Regularization, Optimization, and Beyond, MIT Press, Cambridge, MA (2002).
3. M. A. Aizerman, E. M. Braverman, and L. I. Rozonoer, Potential Function Method in Machine Learning Theory [in Russian], Nauka, Moscow (1970).
4. V. N. Vapnik and A. Ya. Chervonenkis, Pattern Recognition Theory. Statistical Problems of Learning [in Russian], Nauka, Moscow (1974).
5. V. N. Vapnik, Estimation of Dependences based on Empirical Data [in Russian], Nauka, Moscow (1979).