Results 11 to 20 of about 1,010,511 (312)
PLASMA: Partial LeAst Squares for Multiomics Analysis
Cancers, 2023 Background/Objectives: Recent growth in the number and applications of high-throughput “omics” technologies has created a need for better methods to integrate multiomics data. Much progress has been made in developing unsupervised methods, but supervised methods have lagged behind. Methods: Here we present the first algorithm, PLASMA, that can learn to
Kyoko Yamaguchi +5 more
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A Least-Squares Framework for Component Analysis [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Locality Preserving Projections (LPP), and Spectral Clustering (SC) have been extensively used as a feature extraction step for modeling, classification, visualization, and ...
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Analysis of a plane stress wave by the moving least squares method [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2014 A meshless method based on the moving least squares approximation is applied to stress wave propagation analysis. Two kinds of node meshes, the randomly generated mesh and the regular mesh are used.
Wojciech Dornowski
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International Journal of Applied Mechanics and Engineering, 2015 The main purpose of this work is to verify the influence of the weighting procedure in the Least Squares Method on the probabilistic moments resulting from the stability analysis of steel skeletal structures.
M. Kamiński, J. Szafran
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A hybrid least squares and principal component analysis algorithm for Raman spectroscopy. [PDF]
PLoS ONE, 2012 Raman spectroscopy is a powerful technique for detecting and quantifying analytes in chemical mixtures. A critical part of Raman spectroscopy is the use of a computer algorithm to analyze the measured Raman spectra.
Dominique Van de Sompel +3 more
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Deformation analysis with Total Least Squares [PDF]
Natural Hazards and Earth System Sciences, 2006 Deformation analysis is one of the main research fields in geodesy. Deformation analysis process comprises measurement and analysis phases. Measurements can be collected using several techniques. The output of the evaluation of the measurements is mainly
M. Acar +4 more
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Deep Least Squares Fisher Discriminant Analysis
IEEE Transactions on Neural Networks and Learning Systems, 2020 While being one of the first and most elegant tools for dimensionality reduction, Fisher linear discriminant analysis (FLDA) is not currently considered among the top methods for feature extraction or classification. In this paper, we will review two recent approaches to FLDA, namely, least squares Fisher discriminant analysis (LSFDA) and regularized ...
David Díaz-Vico, José R. Dorronsoro
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Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
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Bulletin of Faculty of Pharmacy Cairo University, 2011 Partial least squares regression (PLSR), spectral residual augmented classical least squares (SRACLS) and support vector regression (SVR) are three different chemometric models.
Ibrahim A. Naguib
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An analysis of the mixed least squares-total least squares problems
Filomat, 2022 In this paper, we first get further consideration of the first order perturbation with normwise condition number of the MTLS problem. For easy estimation, we show a lower bound for the normwise condition number which is proved to be optimal. In order to overcome the problems encountered in calculating the normwise condition number, we give ...
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