Probabilistic Active Learning in Data Streams

by Daniel Kottke, Georg Krempl, Myra Spiliopoulou.  In recent years, stream-based active learning has become an intensively investigated research topic. In this work, we propose a new algorithm for stream-based active learning that decides immediately whether to acquire a label (selective sampling). It uses Probabilistic Active Learning (PAL) to measure the spatial usefulness of each […]

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