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Apr, 2024
通过神经网络的近似推理进行贝叶斯生存分析
Bayesian Survival Analysis by Approximate Inference of Neural Networks
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Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen
TL;DR
本文研究了在深度神经网络中建模不确定性对生存分析的预测和校准性能的好处,提出了一个贝叶斯深度学习框架,评估了四个基准数据集上的预测表现,并与传统非贝叶斯方法进行比较。
Abstract
predicting
future events always comes with
uncertainty
, but traditional non-
bayesian
methods cannot distinguish certain from uncertain pre
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