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I think this is supposed to be a general technique that can be applied to any classification algorithm. Whether the performance is practical for DNNs is another matter. As I understand it there is ongoing research in the area. I think there is overlap between the inventors of SVMs and conformal prediction, so that might explain why they are mentioned!


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