First, the discounting mechanism defined in Equation (1) varies the weight that class-based generalization is given: Weights for unseen and infrequent events are higher than weights for frequent events.
the model's estimates are close to maximum likelihood estimates for frequent events because the maximum likelihood estimator is appropriate in these cases.