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pls regression with nipals-based algorithm  (MathWorks Inc)


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    MathWorks Inc pls regression with nipals-based algorithm
    Pls Regression With Nipals Based Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/nipals+algorithm/pmc08407157-319-5-13
    Average 90 stars, based on 1 article reviews
    pls regression with nipals-based algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Application of principal component analysis to study topography of hypoxic-ischemic brain injury.
    Article Snippet: Contents lists available at SciVerse ScienceDirect NeuroImage j ourna l homepage: www.e lsev ie r .com/ locate /yn img Application of principal component analysis to study topography of hypoxic–ischemic brain injury Shaloo Singhal a,b, Jian Chen a,b,c, Richard Beare a,b,c, Henry Ma a,b, John Ly a,b, Thanh G. Phan a,b,⁎ a Stroke and Aging Research Group, Southern Clinical School, Department of Medicine, Monash University, Melbourne, Australia b Stroke Unit, Monash Medical Centre, Melbourne, Australia c Murdoch Childrens Research Institute, Melbourne, Australia ⁎ Corresponding at: Stroke and Aging Research Group partment of Medicine, Monash University, Melbourne 6241.. E-mail address: Thanh.Phan@monash.edu (T.G.. Phan 1053-8119/$ – see front matter © 2012 Elsevier Inc. All doi:10.1016/j.neuroimage.2012.04.025 a b s t r a c t a r t i c l e i n f o

    Article Title: Optical Screening of Female Breast Cancer from Whole Blood Using Raman Spectroscopy.
    Article Snippet: This study is intended to develop a screening method for female breast cancer (BRC) from whole blood using Raman spectroscopy.. A multivariate partial least squares (PLS) regression model is developed which is based upon Raman spectra of BRC-positive and healthy participants.. It yields coefficients of regression at the corresponding Raman shifts.

    Article Title: Combinative neural network and its applications.
    Article Snippet: A new approach named combinative neural network (CN) using partial least squares (PLS) analysis to modify the hidden layer in the multi-layered feed forward (MLFF) neural networks (NN) was proposed in this paper.. The significant contributions of PLS in the proposed CN are to reorganize the outputs of hidden nodes such that the correlation of variables could be circumvented, to make the network meet the non-linear relationship best between the input and output data of the NN, and to eliminate the risk of over-fitting problem at the same time.. The performance of the proposed approach was demonstrated through two examples, a well defined nonlinear approximation problem, and a practical nonlinear pattern classification problem with unknown relationship between the input and output data.

    Article Title: Autocrine signaling is a key regulatory element during osteoclastogenesis
    Article Snippet: We used the SIMPLS algorithm using the Matlab routine plsregress and the NIPALS algorithm, both of which yielded equivalent results.

    Article Title: Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods
    Article Snippet: Partial least-squares (PLS) regression was used for calibration and performed in Matlab using the nonlinear iterative partial least-squares (NIPALS) algorithm (Wold and Sjostrom, 2001).

    Article Title: Rapid quantitative assessment of the adulteration of virgin olive oils with hazelnut oils using Raman spectroscopy and chemometrics.
    Article Snippet: The authentication of extra virgin olive oil and its adulteration with lower-priced oils are serious problems in the olive oil industry.. In addition to the obvious effect on producer profits, adulteration can also cause severe health and safety problems.. A number of techniques, including chromatographic and spectroscopic methods, have recently been employed to assess the purity of olive oils.



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