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Tensor Envelope Partial Least-Squares Regression
Technometrics, 2017 Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of the PLS algorithms. However, none offers a population model and interpretation, and statistical properties of the associated parameters remain intractable ...
Xin Zhang 0132, Lexin Li
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Potential of interval partial least square regression in estimating leaf area index
South African Journal of Science, 2017 Leaf area index (LAI) is a critical parameter in determining vegetation status and health. In tropical grasslands, reliable determination of LAI, useful in determining above ground biomass, provides a basis for rangeland management, conservation and ...
Zolo Kiala +2 more
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Group‐wise partial least square regression
Journal of Chemometrics, 2017 AbstractThis paper introduces the group‐wise partial least squares (GPLS) regression. GPLS is a new sparse PLS technique where the sparsity structure is defined in terms of groups of correlated variables, similarly to what is done in the related group‐wise principal component analysis. These groups are found in correlation maps derived from the data to
José Camacho, Edoardo Saccenti
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The Degrees of Freedom of Partial Least Squares Regression [PDF]
Journal of the American Statistical Association, 2011 Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Sugiyama, Masashi, Krämer, Nicole
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Optimization of wood flour acetylation by factorial design and partial least squares regression
Química Nova, 2012 Acetylation was performed to reduce the polarity of wood and increase its compatibility with polymer matrices for the production of composites. These reactions were performed first as a function of acetic acid and anhydride concentration in a mixture ...
Lisandra M. K. Nadal +3 more
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Scaled Predictor Envelopes and Partial Least-Squares Regression [PDF]
Technometrics, 2016 Partial least squares (PLS) is a widely used method for prediction in applied statistics, especially in chemometrics applications. However, PLS is not invariant or equivariant under scale transformations of the predictors, which tends to limit its scope to regressions in which the predictors are measured in the same or similar units. Cook et al. (2013)
R. Dennis Cook, Zhihua Su
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Foods, 2020 The scaling rate of carp is one of the most important factors restricting the automation and intelligence level of carp processing. In order to solve the shortcomings of the commonly-used manual detection, this paper aimed to study the potential of ...
Huihui Wang +5 more
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Scientific Reports, 2023 Despite the widespread interest in electrospinning technology, very few simulation studies have been conducted. Thus, the current research produced a system for providing a sustainable and effective electrospinning process by combining the design of ...
Md. Nahid Pervez +9 more
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Chemical Engineering Transactions, 2015 Quality control of industrial products has become essential in modern industry as it aims to satisfy customer demands. Therefore it requires fast and simple procedures in order to ensure efficient on-line process monitoring and detect abnormal deviation ...
A. Taris +3 more
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Remote Sensing, 2022 The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity.
Alice Ziegler +34 more
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