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There are a large number of unlabeled examples in real-world application, and if the labels of these unlabeled examples are given manually, then the cost will be very high. The problem about how to label these massive unlabeled instances with the minimal cost is paid more and more attention. Active learning efficiently solves this bottleneck by selecting the most informative examples from the unlabeled...
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.