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Conformal Prediction (CP) is an uncertainty estimation framework that generates prediction sets, ensuring that the true class is included with a user-specified probability known as coverage. This ...

Abstract: The rapid evolution of data has challenged traditional machine learning methods and leads to the failure of many learning models. As a possible solution to the lack of sufficient labeled ...

The probability density function (pdf) for a 2-dimensional real-valued random vector X is as follows: p(x) = P(L = 0)p(x|L = 0) + P(L = 1)p(x|L = 1). Here L is the true class label that indicates ...