Steinwart, Ingo; Hush, Don; Scovel, Clint - In: Journal of Multivariate Analysis 100 (2009) 1, pp. 175-194
In most papers establishing consistency for learning algorithms it is assumed that the observations used for training are realizations of an i.i.d. process. In this paper we go far beyond this classical framework by showing that support vector machines (SVMs) only require that the...