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Active learning and semi-supervised learning are two approaches to alleviate the burden of labeling large amounts of data. In active learning, user is asked to label the most informative examples in the domain. In semi-supervised learning, labeled data is used together with unlabeled data to boost the performance of learning algorithms. We focus here to combine them together. We first introduce a...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.