References [Dev82]L.Devroye,Bounds for the uniform deviation of empirical measures,Journal of Multivariate Analysis 12(1982),72-79. [DGL96]Luc Devroye,Laszlo Gyorfi,and Gabor Lugosi,A probabilistic theory of pattern recognition (stochastic modelling and applied probability),Springer,1996. [Dud78 R.Dudley,Central limit theorems for empirical measures,Annals of Probability 6 (1978),899-929. [Mas90 P.Massart,The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequaltiy,Annals of Probability 18(1990),1269-1283. [Pol84]D.Pollard,Convegence of stochastic processes,Springer-Verlag New York,1984. [Tal87]M.Talagrand,The Glivenko-Cantelli problem,Annals of Probability 15(1987),837- 870. [Vap98 N.Vladimir Vapnik,Statistical learning theory,Wiley Interscience,1998. [Vap00 Vladimir N.Vapnik,The nature of statistical learning theory,2nd ed.,Springer, 2000. [VC71]V.N.Vapnik and A.Ya.Chervonenkis,On the uniform convergence of relative fre quencies of events to their probabilities,Theory of Probability and its Applications 16(1971),n0.2,264-280. 6References [Dev82] L. Devroye, Bounds for the uniform deviation of empirical measures, Journal of Multivariate Analysis 12 (1982), 7279. [DGL96] Luc Devroye, László Györ, and Gábor Lugosi, A probabilistic theory of pattern recognition (stochastic modelling and applied probability), Springer, 1996. [Dud78] R. Dudley, Central limit theorems for empirical measures, Annals of Probability 6 (1978), 899929. [Mas90] P. Massart, The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequaltiy, Annals of Probability 18 (1990), 12691283. [Pol84] D. Pollard, Convegence of stochastic processes, Springer-Verlag New York, 1984. [Tal87] M. Talagrand, The Glivenko-Cantelli problem, Annals of Probability 15 (1987), 837 870. [Vap98] N. Vladimir Vapnik, Statistical learning theory, Wiley Interscience, 1998. [Vap00] Vladimir N. Vapnik, The nature of statistical learning theory, 2nd ed., Springer, 2000. [VC71] V.N. Vapnik and A. Ya. Chervonenkis, On the uniform convergence of relative fre￾quencies of events to their probabilities, Theory of Probability and its Applications 16 (1971), no. 2, 264280. 6