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Optimal Mean-Absolute-Error Nonincreasing Binary Filters
1997The basic task of optimal filtering is to operate on an observed image in a manner that produces a filtered image that is a good estimate of a desired image. In the language of image restoration, we wish to filter a degraded document image to produce a restored image close to an ideal document image.
Edward R. Dougherty, Robert P. Loce
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Mean absolute percentage error and bias in economic forecasting
Economics Letters, 2011Abstract This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.
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Fisher Consistency for Mean Absolute Percentage Error
The measurement of quality for regression models has long been a fundamental concern in statistical research. In classical regression setting, the proximity of f(X) to Y is typically evaluated using Mean Squared Error (MSE), which is sensitive to the scale of data and penalizes large errors through a quadratic function.openaire +1 more source
Determination the Smoothing Constant that Minimizes Mean Absolute Error and Mean Square Deviation
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021Abdul Talib Bon +7 more
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On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
IEEE Signal Processing Letters, 2020Jun Qi +2 more
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