Results 11 to 20 of about 3,504 (232)
Partial Least Squares Regression for Binary Responses and Its Associated Biplot Representation
Mathematics, 2022 In this paper, we propose a generalization of Partial Least Squares Regression (PLS-R) for a matrix of several binary responses and a a set of numerical predictors. We call the method Partial Least Squares Binary Logistic Regression (PLS-BLR).
Laura Vicente-Gonzalez +1 more
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Polish pharmacy professionals' beliefs about homeopathic medicines - a survey. [PDF]
Farmacja Polska, 2023 Introduction: Homeopathy is an alternative therapeutic metod based on the principle of similarity, which was developed by Samuel Hahnemann in the 18th century. This method involves administering substances that may produce symptoms similar to the patient'
Agnieszka Sałek +2 more
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Chemometric study on the forensic discrimination of soil types using their infrared spectral characteristics [PDF]
, 2011 Soil has been utilized in criminal investigations for some time because of its prevalence and transferability. It is usually the physical characteristics that are studied, however the research carried out here aims to make use of the chemical profile of ...
Baron, Mark +4 more
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Parallel GPU Implementation of Iterative PCA Algorithms [PDF]
, 2008 Principal component analysis (PCA) is a key statistical technique for multivariate data analysis. For large data sets the common approach to PCA computation is based on the standard NIPALS-PCA algorithm, which unfortunately suffers from loss of ...
Andrecut, M.
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Frontiers in Environmental Science, 2022 Air pollution is generating serious health issues as well as threats to our natural ecosystem. Accurate prediction of PM2.5 can help taking preventive measures for reducing air pollution. The periodic pattern of PM2.5 can be modeled with recurrent neural
Muhammad Waqas Saif-ul-Allah +4 more
doaj +1 more source
The Degrees of Freedom of Partial Least Squares Regression [PDF]
, 2010 The derivation of statistical properties for Partial Least Squares regression can be a challenging task. The reason is that the construction of latent components from the predictor variables also depends on the response variable.
Akaike H. +6 more
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Re‐interpretation of NIPALS results solves PLSR inconsistency problem [PDF]
Journal of Chemometrics, 2008 AbstractThe well‐known nonlinear iterative partial least squares (NIPALS) algorithm is commonly used for computation of components in partial least squares regression (PLSR) with orthogonalized score vectors. Based on generalized inverse formalism, Pell et al.[1] have recently claimed that the NIPALS results are inconsistent with respect to model ...
openaire +2 more sources
Regularized Partial Least Squares with an Application to NMR Spectroscopy [PDF]
, 2012 High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. Recently, partial least squares (PLS) and Sparse PLS methods have gained attention in these areas as dimension reduction techniques ...
Allen, Genevera I. +3 more
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Boron deficiency responses in maize (Zea mays L.) roots
Journal of Plant Nutrition and Soil Science, EarlyView., 2023 Abstract Background Boron (B) is an essential micronutrient for plants. Dicot plants respond to insufficient B supply by altering root architecture and root hair growth. How root systems of rather low‐B demanding monocot species such as maize (Zea mays L.) respond to B deficiency in terra has not been experimentally resolved, yet.
Manuela Désirée Bienert +5 more
wiley +1 more source
Rona Teknik Pertanian, 2015 . Near infrared technology have been widely applied in many fields, including agriculture especially in sorting and grading process. The advantage of this technology: simple sample preparation, rapid, effective and non-destructive.
Agus A. Munawar
doaj +3 more sources