Active and Adaptive Sequential learning

29 May 2018 Yuheng Bu Jiaxun Lu Venugopal V. Veeravalli

A framework is introduced for actively and adaptively solving a sequence of machine learning problems, which are changing in bounded manner from one time step to the next. An algorithm is developed that actively queries the labels of the most informative samples from an unlabeled data pool, and that adapts to the change by utilizing the information acquired in the previous steps... (read more)

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