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Mean squared error

Known as: Mean square error, Mean square, Squared error loss 
In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Learning to predict future images from a video sequence involves the construction of an internal representation that models the… Expand
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Highly Cited
2014
Highly Cited
2014
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies… Expand
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Review
2009
Review
2009
In this article, we have reviewed the reasons why we (collectively) want to love or leave the venerable (but perhaps hoary) MSE… Expand
Highly Cited
2009
Highly Cited
2009
The mean squared error (MSE) and the related normalization, the Nash-Sutcliffe efficiency (NSE), are the two criteria most widely… Expand
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Highly Cited
2008
Highly Cited
2008
We formulate and study distributed estimation algorithms based on diffusion protocols to implement cooperation among individual… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper we propose minimum mean squared error (MMSE) iterative successive parallel arbitrated decision feedback (DF… Expand
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Highly Cited
2006
Highly Cited
2006
  • Tom Fawcett
  • Pattern Recognit. Lett.
  • 2006
  • Corpus ID: 2027090
Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC… Expand
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Highly Cited
2005
Highly Cited
2005
The relative abilities of 2, dimensioned statistics — the root-mean-square error (RMSE) and the mean absolute error (MAE) — to… Expand
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Highly Cited
2002
Highly Cited
2002
A number of important advances have been made in the area of joint equalization and decoding of data transmitted over intersymbol… Expand
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Highly Cited
1993
Highly Cited
1993
The invention relates to a spark plug tightener with a cylindrical housing having on one end a multi-faceted opening for engaging… Expand