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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… 
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Related topics

Related topics

43 relations
Akaike information criterionArtificial neural networkAutoencoderBias–variance tradeoff

Broader (2)

Estimation theoryLeast squares

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion
The steady-state excess mean square error (EMSE) of the adaptive filtering under the maximum correntropy criterion (MCC) has been… 
Highly Cited
2012
Highly Cited
2012
Functional Properties of Minimum Mean-Square Error and Mutual Information
In addition to exploring its various regularity properties, we show that the minimum mean-square error (MMSE) is a concave… 
Highly Cited
2008
Highly Cited
2008
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
We formulate and study distributed estimation algorithms based on diffusion protocols to implement cooperation among individual… 
Highly Cited
2007
Highly Cited
2007
MIMO radar waveform design based on mutual information and minimum mean-square error estimation
This paper addresses the problem of radar waveform design for target identification and classification. Both the ordinary radar… 
Highly Cited
2005
Highly Cited
2005
Speech enhancement based on minimum mean-square error estimation and supergaussian priors
This paper presents a class of minimum mean-square error (MMSE) estimators for enhancing short-time spectral coefficients of a… 
Highly Cited
2004
Highly Cited
2004
Mean-square performance of a family of affine projection algorithms
Affine projection algorithms are useful adaptive filters whose main purpose is to speed the convergence of LMS-type filters. Most… 
Highly Cited
2003
Highly Cited
2003
Interpolating the isotopic composition of modern meteoric precipitation
An accurate representation of the spatial distribution of stable hydrogen and oxygen isotopes in modern precipitation is required… 
Highly Cited
2002
Highly Cited
2002
Minimum mean squared error equalization using a priori information
A number of important advances have been made in the area of joint equalization and decoding of data transmitted over intersymbol… 
Highly Cited
1998
Highly Cited
1998
Real-Time Control Systems with Delays
Control loops that are closed over a communication network get more and more common. A problem with such systems is that the… 
Highly Cited
1984
Highly Cited
1984
The least mean fourth (LMF) adaptive algorithm and its family
New steepest descent algorithms for adaptive filtering and have been devised which allow error minimization in the mean fourth… 
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