situations, we will not know the distribution P(h,d) exactly but will instead have a set of labelled samples {(hi,di) : i = 1,...,N}. The risk (20) can be approximated by the empirical risk Remp(α) = (1/N) � N i=1 L(hi,α(di)). Some methods used in machine (2001)

by In many