Web1 jun. 2013 · However, measurements with outliers are better treated with different penalties that yield more robust estimators, e.g., the one norm or the Huber penalty function [9]. Web由此可知 Huber Loss 在应用中是一个带有参数用来解决回归问题的损失函数 优点 增强MSE的离群点鲁棒性 减小了对离群点的敏感度问题 误差较大时 使用MAE可降低异常值 …

Convergence of the huber regression m-estimate in the presence …

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Degrees of freedom for regularized regression with Huber …

WebThe utility of the Huber penalty in imaging applications is extensive. It can serve as a generic edge preserving penalty –, or as an approximation to the nondifferentiable … Weberrors, a formulation based on the Huber penalty is also presented. We show that our robust MHE formulation outperforms a MHE formulation using the ‘2-norm and a … ray williams producer