Structural query-by-committee

03/17/2018

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by   Christopher Tosh, et al.

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In this work, we describe a framework that unifies many different interactive learning tasks. We present a generalization of the query-by-committee active learning algorithm for this setting, and we study its consistency and rate of convergence, both theoretically and empirically, with and without noise.