Results 11 to 20 of about 4,861,455 (309)
Communications, 2012 In this paper we study the performance of the least square method and the weighted least square method for estimating the Weibull distribution parameters. In engineering practice these methods are commonly used due to their simplicity.
Ivana Pobocikova, Zuzana Sedliackova
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Partitioned least squares [PDF]
Machine Learning, 2019 AbstractLinear least squares is one of the most widely used regression methods in many fields. The simplicity of the model allows this method to be used when data is scarce and allows practitioners to gather some insight into the problem by inspecting the values of the learnt parameters.
Roberto Esposito +2 more
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Approximate least squares [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 Preprint of the paper submitted to IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ...
Michael Lunglmayr +2 more
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Unifying Least Squares, Total Least Squares and Data Least Squares [PDF]
, 2002 The standard approaches to solving overdetermined linear systems A x ≈ b construct minimal corrections to the vector b and/or the matrix A such that the corrected system is compatible. In ordinary least squares (LS) the correction is restricted to b, while in data least squares (DLS) it is restricted to A. In scaled total least squares (Scaled TLS) [15]
Christopher C. Paige, Zdeněk Strakoš
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, 2023 Least-square means (± SE) of milk yield and milkability traits as a function of the temperament indicators (n = 76).
Marta Fonseca Martins (3850786) +6 more
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A Frequency-domain Correlation Distributed Diffusion Least Mean Square Algorithm [PDF]
Jisuanji gongcheng, 2022 Least Mean Square(LMS) adaptive filtering algorithms with mean square error as the cost function have the advantages of simple structure, easy implementation, low computational complexity, and good stability.During estimation of the impulse response of ...
CHEN Huang, CHEN Rui, KUANG Zhufang, HUANG Huajun
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The Conjugate Gradient Least Square Algorithm in Terahertz Tomography
IEEE Access, 2021 Terahertz tomography allows for non-contact tomographic inspection of dielectric materials without the need for radiation protection measures. Terahertz tomography offers the opportunity to inspect such objects from multiple angles not only by measuring ...
Karl H. May +3 more
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Partial least square regression applied to the QTLMAS 2010 dataset [PDF]
, 2010 Detection of genomic regions affecting traits is a goal in many genetic studies. Studies applying distinct methods for detection of these regions, called quantitative trait loci (QTL), have been described, ranging from single marker regression [1] to ...
Calus, M.P.L. +3 more
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, 2023 Least-square means (± SE) of milk quality traits as a function of the temperament indicators (n = 76).
Marta Fonseca Martins (3850786) +6 more
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Least squares auto-tuning [PDF]
Engineering Optimization, 2020 Least squares is by far the simplest and most commonly applied computational method in many fields. In almost all applications, the least squares objective is rarely the true objective. We account for this discrepancy by parametrizing the least squares problem and automatically adjusting these parameters using an optimization algorithm.
Shane T. Barratt, Stephen P. Boyd
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