Results 281 to 290 of about 441,425 (328)

A New Estimator of the Variance Based on Minimizing Mean Squared Error

The American Statistician, 2012
In 2005, Yatracos constructed the estimator S 2 2 = c 2 S 2, c 2 = (n + 2)(n − 1)[n(n + 1)]− 1, of the variance, which has smaller mean squared error (MSE) than the unbiased estimator S 2. In this work, the estimator S 2 1 = c 1 S 2, c 1 = n(n − 1)[n(n − 1) + 2]− 1, is constructed and is shown to have the following properties: (a) it has smaller MSE ...
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A new histogram-based estimation technique of entropy and mutual information using mean squared error minimization

Computers & Electrical Engineering, 2013
Mutual Information (MI) has extensively been used as a measure of similarity or dependence between random variables (or parameters) in different signal and image processing applications. However, MI estimation techniques are known to exhibit a large bias, a high Mean Squared Error (MSE), and can computationally be very costly.
Hacine-Gharbi, Abdenour, Deriche, Mohamed, Ravier, Philippe, Harba, Rachid, Mohamadi, Tayeb   +4 more
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A binning formula of bi-histogram for joint entropy estimation using mean square error minimization

Pattern Recognition Letters, 2018
Abstract Histograms have extensively been used as a simple tool for nonparametric probability density function estimation. However, practically, the accuracy of some histogram-based derived quantities, such as the marginal entropy (ME), the joint entropy (JE), or the mutual information (MI) depends on the number of bins chosen for the histogram.
Hacine-Gharbi, Abdenour, Ravier, Philippe   +1 more
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High-capacity data hiding in halftone images using minimal-error bit searching and least-mean square filter

IEEE Transactions on Image Processing, 2006
In this paper, a high-capacity data hiding is proposed for embedding a large amount of information into halftone images. The embedded watermark can be distributed into several error-diffused images with the proposed minimal-error bit-searching technique (MEBS).
Pei, Soo-Chang, Guo, Jing-Ming
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Interference Alignment Transceiver Design by Minimizing the Maximum Mean Square Error for MIMO Interfering Broadcast Channel

IEEE Transactions on Vehicular Technology, 2016
An interference alignment (IA) transceiver design scheme for multiple-input–multiple-output (MIMO) multicell multiuser wireless communication systems is proposed by minimizing the maximum mean square error (MSE) of the received symbols to improve fairness among users. The formulated Min-Max MSE optimization problem is not jointly convex on the transmit
Anming Dong, Haixia Zhang, Dongfeng Yuan, Xiaotian Zhou   +3 more
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Linear System Approximation By Mean Square Error Minimization In The Time Domain.

1957
PhD ; Electrical engineering ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/181849/2/5800920 ...
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Determination the Smoothing Constant that Minimizes Mean Absolute Error and Mean Square Deviation

Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021
Abdul Talib Bon, Sukono Sukono, Mustafa Mamat, Agung Prabowo, Agustini Tripena, Danang Adi Pratama, Ibnu Ginanjar Susilo, Zulfatul Mukarromah   +7 more
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Choosing the number of factors in partial least squares regression: estimating and minimizing the mean squared error� of prediction

Journal of Chemometrics, 2000
We investigate a number of approaches to estimating the mean squared error of prediction (MSEP) in partial least squares (PLS) regression without resorting to external validation. Using two simulation examples based on real data, performances of the methods are evaluated in terms of their accuracy and their usefulness in determining the optimal number ...
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Design of fixed-width multipliers with minimum mean square error

European Conference on Circuit Theory and Design, 2007
N. Petra, D. Caro, A. Strollo
semanticscholar   +1 more source

Ensemble of Surrogates: a Framework based on Minimization of the Mean Integrated Square Error

, 2008
F. Viana, R. Haftka, V. Steffen, S. Butkewitsch, Marcos de Freitas Leal   +4 more
semanticscholar   +1 more source