Jeremy S. Thorne

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Many binary classi cation algorithms produce real-valued predictions which are then thresholded to produce a binary classi cation. These real-valued predictions can often be viewed as a measure of con dence in classi cation. Recent techniques for the theoretical analysis of such algorithms in terms of the classi cation con dence (or margin) have been(More)
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