VC-dimension bounds for nonzero error. We can derive analogous sample complexity bounds in cases where no representation h from the class H fits the data perfectly, perhaps due to noise in the data. Suppose a class H of representations of VC-dimension d is given. Show that if we take a sample of h e H has an empirical error ,1 ml[h(r(j))60)] within an additive elc