Our first variation, which is called Two Pool Algorithm A, adds new unlabeled examples to the primary pool when the increasing ratio of support vec-tors in the current classifier decreases, because the gain of accuracy is very little once the ratio is down.
it is not clear that the approach is readily applicable to tasks which have more than 100,000 features and more than 100,000 examples.