ML question: I don't have much experience with boosting. But it seems like instead of reweighting instances, you could equivalently (1/2)
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Replying to @avibryant
... update their probability of being sampled into a uniformly weighted training set for the next round. Does anyone do that?
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It seems that Breiman called this "arcing" (for "Adaptive Resampling and Combining"), but that term didn't catch on.
11:32 PM - 25 May 2016
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