Support vector machines have met with significant success in numerous real-world learning
tasks. However, like most machine learning algorithms, they are generally applied using a
randomly selected training set classified in advance. In many settings, we also have the
option of using pool-based active learning. Instead of using a randomly selected training set,
the learner has access to a pool of unlabeled instances and can request the labels for some
number of them. We introduce a new algorithm for performing active learning with support …

Support Vector Machine Active Learning with Application sto Text Classification |
Proceedings of the Seventeenth International Conference on Machine Learning … Simon
Tong … Daphne Koller …