Active learning is a subfield of machine learning that aims to reduce the number of labeled information while receiving the same classification performance. As it is easy to capture unlabeled information from sensors but expensive to annotate this data, the influence of active learning increases fast. Personalized search engines, for instance, need user feedbacks to […]