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Jul, 2024
数据污染下的分割一致性预测
Split Conformal Prediction under Data Contamination
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Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
TL;DR
在数据污染情况下,我们研究了分割型拟合预测的鲁棒性,并通过数值实验验证了这一结果。此外,我们提出了一种称为污染鲁棒拟合预测的调整方法,使用合成和真实数据集验证了我们方法的效力。
Abstract
conformal prediction
is a non-parametric technique for constructing
prediction intervals
or sets from arbitrary predictive models under the assumption that the data is exchangeable. It is popular as it comes with
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