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  1. Quantifying Classification Uncertainty using Regularized Evidential Neural Networks

    2019 · arXiv (Cornell University)

    Traditional deep neural nets (NNs) have shown the state-of-the-art performance in the task of classification in various applications. However, NNs have not considered any types of uncertainty associated with the class probabilities to minimize risk …