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Dec, 2017
一种用于异常值检测的近似贝叶斯长短期记忆算法
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
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Chao Chen, Xiao Lin, Gabriel Terejanu
TL;DR
本研究提出使用Ensemble Kalman Filter对神经网络权重的不确定性进行近似估计,结合最大似然估计优化噪声分布协方差,以应用于通过Twitter平台检测真实世界事件中的异常值。
Abstract
long short-term memory
networks trained with
gradient descent
and back-propagation have received great success in various applications. However, point estimation of the weights of the networks is prone to over-fi
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