Technical Report CS Department of Computer Science and Engineering University of California San Diego A general agnostic active learning algorithm Sanjoy Dasgupta Daniel Hsu and Claire Monteleoni Abs

Our algorithm extends a sche me of Cohn Atlas and Ladner 6 to the agnostic setting by 1 reformulating it using a reduction to s upervised learning and 2 showing how to apply generalization bounds even for the noniid samples that result from selectiv

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