Results 1 to 10 of about 1,509,637 (194)
An Automatic Baseline Correction Method Based on the Penalized Least Squares Method [PDF]
Sensors, 2020 Baseline drift spectra are used for quantitative and qualitative analysis, which can easily lead to inaccurate or even wrong results. Although there are several baseline correction methods based on penalized least squares, they all have one or more ...
Feng Zhang +4 more
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DWNN-RLS: regularized least squares method for predicting circRNA-disease associations [PDF]
BMC Bioinformatics, 2018 Background Many evidences have demonstrated that circRNAs (circular RNA) play important roles in controlling gene expression of human, mouse and nematode.
Cheng Yan, Jianxin Wang, Fang-Xiang Wu
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Nonlinear least squares method [PDF]
Communications, 1999 The paper deals with a comparison of linear and nonlinear least squares approximation. Its aim is to show that the well known transformations of nonlinear dependencies on linear dependencies do not always give exact results.
Jaromír Máca, Bohus Leitner
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Moving Least Squares Method and its Improvement: A Concise Review [PDF]
Journal of Applied and Computational Mechanics, 2021 The concise review systematically summarises the state-of-the-art variants of Moving Least Squares (MLS) method. MLS method is a mathematical tool which could render cogent support in data interpolation, shape construction and formulation of meshfree ...
Wah Yen Tey +4 more
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Total least squares methods [PDF]
WIREs Computational Statistics, 2010 Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations:1.the use of weighted norms as a measure of the data perturbation size, capturing prior knowledge about uncertainty in the data;2.the addition of constraints on the perturbation to ...
Markovsky, Ivan +2 more
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Chebyshev Approximations by Least Squares Method
Известия Иркутского государственного университета: Серия "Математика", 2020 We consider the problem of linear approximation in the form of the minimization problem of the weighted Chebyshev norm, and that in the form of the minimization problem of the weighted Euclidean norm of the residual vector.
V.I. Zorkaltsev, E. V. Gubiy
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Iterative least squares method for global positioning system [PDF]
Advances in Radio Science, 2011 The efficient implementation of positioning algorithms is investigated for Global Positioning System (GPS). In order to do the positioning, the pseudoranges between the receiver and the satellites are required.
Y. He, A. Bilgic
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Social network user geolocating method based on weighted least squares
网络与信息安全学报, 2022 When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by ...
Wenqi SHI, Xiangyang LUO, Jiashan GUO
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A ROBUST PCT METHOD BASED ON COMPLEX LEAST SQUARES ADJUSTMENT METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Polarization Coherence Tomography (PCT) method has the good performance in deriving the vegetation vertical structure. However, Errors caused by temporal decorrelation and vegetation height and ground phase always propagate to the data analysis and ...
F. Haiqiang +4 more
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Partial Least Squares Optimization Method Integrating Restricted Boltzmann Machine [PDF]
Jisuanji gongcheng, 2017 Partial Least Squares(PLS) method adopts Principal Component Analysis(PCA),it cannot express the nonlinear characteristic,and the prediction accuracy is low in the nonlinear data.Based on this,an analysis and predicting method combining Restricted ...
ZHU Zhipeng,DU Jianqiang,YU Riyue,NIE Bin
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