Results 221 to 230 of about 302,002 (276)

Neural Network Technologies for Age Estimation in Children from Orthopantomograms (a Pilot Study). [PDF]

Sovrem Tekhnologii Med
Poletaeva MP, Vasilevsky YV, Valetov DK, Angelakopoulos N, Zolotenkova GV.   +4 more
europepmc   +1 more source

Predicting protein cascade expression from H&E images. [PDF]

PLoS Comput Biol
Leyva A, Akbar AR, Niazi MKK.
europepmc   +1 more source

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Mean Squared Error (MSE) Algorithms

1993
S. I. Gallant
exaly   +3 more sources

An MSE comparison of the restricted Stein-rule and minimum mean squared error estimators in regression

Test, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazuhiro Ohtani
exaly   +2 more sources

E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions

Communications in Statistics - Simulation and Computation, 2019
This paper is concerned with using the E-Bayesian method for computing estimates of Pareto index.
Ming Han
openaire   +2 more sources

Minimum mean squared error (MSE) adjustment and the optimal Tykhonov–Phillips regularization parameter via reproducing best invariant quadratic uniformly unbiased estimates (repro-BIQUUE)

Journal of Geodesy, 2007
In a linear Gauss–Markov model, the parameter estimates from BLUUE (Best Linear Uniformly Unbiased Estimate) are not robust against possible outliers in the observations. Moreover, by giving up the unbiasedness constraint, the mean squared error (MSE) risk may be further reduced, in particular when the problem is ill-posed.
Burkhard Schaffrin, Schaffrin Burkhard
exaly   +2 more sources

The Mean Square Error (MSE) Performance Criteria

1986
Adaptive signal processing algorithms generally attempt to optimize a performance measure that is a function of the unknown parameters to be identified. The most pervasive of these performance measures are based upon squared prediction errors, although the specific prediction error used in adaptation often depends upon the particular algorithm.
S. Thomas Alexander
openaire   +2 more sources

E-Bayesian estimation and its E-MSE under the scaled squared error loss function, for exponential distribution as example

Communications in Statistics Part B: Simulation and Computation, 2019
Ming Han
exaly   +2 more sources