Given an initial value c 0 c(0) ≥ 0 and a slope parameter r, we define: In this case, new training examples are constantly being introduced during the training process, with a constant rate r (as a proportion of the total number of available training examples).
note that we can also define r = (1 − c 0 )/T , where T denotes the time after which the learner is fully competent, which results in: Root: In the case of the linear form, the same number of new and more difficult, examples are added to the training set, at all times t. as the training data grows in size, it gets less likely that any single data example will be sampled in a training batch.