One use of regularization is in classification. Empirical learning of classifiers (from a finite data set) is always an underdetermined problem, because it attempts to infer a function of any x {\displaystyle x} given only examples x 1 , x 2 , . . . x n {\displaystyle x_{1},x_{2},...x_{n}} .