arXiv · 1803.06586
Structural query-by-committee
Abstract
In this work, we describe a framework that unifies many different interactive learning tasks. We present a generalization of the {\it 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.
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Christopher Tosh, Sanjoy Dasgupta. 2018-03-17. Structural query-by-committee. https://arxiv.org/abs/1803.06586
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