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DENSITY BASED CONFIDENCE MEASURES OF NEURAL NETWORKS FOR RELIABLE PREDICTIONS
DENSITY BASED CONFIDENCE MEASURES OF NEURAL NETWORKS FOR RELIABLE PREDICTIONS
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机译:可靠预测的基于密度的神经网络保密措施
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摘要
A system and method for learning and associating reliability and confidence corresponding to a model's predictions by examining the support associated with datapoints in the variable phase space in terms of data coverage, and their impact on the weights distribution. The approach disclosed herein examines the impact of minor perturbations on a small fraction of the training exemplars in the variable phase space on the weights to understand whether the weights remain unperturbed or change significantly.
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