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learning with non-explicit negative label #5

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giacbrd opened this issue Oct 18, 2016 · 0 comments

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giacbrd commented Oct 18, 2016

This could open to scenarios like:

one-class classification (the training set is only made of positive examples)
multi-label classification: learn with multiple labels but, given a test sample, the predicted label may not be the one with the highest probability (it could be not associable to any label)

giacbrd added the enhancement label

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