Computation of a Rejection Threshold Used for the Bayes Classifier

In this paper an algorithm for the efficient computation of a rejection threshold for Bayes classification is discussed. A theoretical and a practical evaluation of the performance regarding the accuracy of the numerical computation for uni- and multimodal high-dimensional probability distributions is given. Additionally some observations regarding the dimensionality and the number of samples are shared.

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