Search results for "Non-linear iterative partial least squares"

showing 2 items of 2 documents

Missing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares

2013

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/162938 Missing values are prevalent in microarray data, they course negative influence on downstream microarray analyses, and thus they should be estimated from known values. We propose a BPCA-iLLS method, which is an integration of two commonly used missing value estimation methods-Bayesian principal component analysis (BPCA) and local least squares (LLS). The inferior row-average procedure in LLS is replaced with BPCA, and the least squares method is put into an iterative framework. Comparative result shows that the proposed method has obtaine…

EstimationVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Article SubjectComputer sciencelcsh:MathematicsGeneral MathematicsGeneral EngineeringValue (computer science)lcsh:QA1-939Non-linear iterative partial least squarescomputer.software_genreLeast squaresBayesian principal component analysislcsh:TA1-2040Data mininglcsh:Engineering (General). Civil engineering (General)computerMathematical Problems in Engineering
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A modified least squares FE-method for ideal fluid flow problems

1982

A modified least squares FE-method suitable e.g. for calculating the ideal fluid flow is presented. It turns out to be essentially more efficient than the conventional least squares method. peerReviewed

Physics::Fluid DynamicsComputational MathematicsFlow (mathematics)Applied MathematicsNon-linear least squaresApplied mathematicsPerfect fluidGeometryNon-linear iterative partial least squaresLeast squaresMathematicsJournal of Computational and Applied Mathematics
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