Results 1 to 10 of about 3,502,849 (214)

Feature selection using distributions of orthogonal PLS regression vectors in spectral data [PDF]

BioData Mining, 2021
Feature selection, which is important for successful analysis of chemometric data, aims to produce parsimonious and predictive models. Partial least squares (PLS) regression is one of the main methods in chemometrics for analyzing multivariate data with ...
Geonseok Lee, Kichun Lee
doaj   +3 more sources

New Developments in Sparse PLS Regression [PDF]

Frontiers in Applied Mathematics and Statistics, 2021
Methods based on partial least squares (PLS) regression, which has recently gained much attention in the analysis of high-dimensional genomic datasets, have been developed since the early 2000s for performing variable selection.
Jérémy Magnanensi, Jérémy Magnanensi, Myriam Maumy-Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer, Frédéric Bertrand, Frédéric Bertrand   +6 more
doaj   +8 more sources

Simultaneous Determination of Ethanol and Methanol in Wines Using FTIR and PLS Regression [PDF]

Foods
Accurate quantification of ethanol and methanol is essential for regulatory compliance and product quality assurance. Fourier Transform Infrared Spectroscopy (FTIR) offers rapid, non-destructive analysis with minimal sample preparation, making it a ...
Vasiliki Thanasi, Ilda Caldeira, Luís Santos, Jorge M. Ricardo-da-Silva, Sofia Catarino   +4 more
doaj   +3 more sources

Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis. [PDF]

PLoS ONE, 2017
Birth weight, length and circumferences of the head, chest and arm are key measures of newborn size and health in developing countries. We assessed maternal socio-demographic factors associated with multiple measures of newborn size in a large rural ...
Alamgir Kabir, Md Jahanur Rahman, Abu Ahmed Shamim, Rolf D W Klemm, Alain B Labrique, Mahbubur Rashid, Parul Christian, Keith P West   +7 more
doaj   +3 more sources

Smooth PLS Regression for Spectral Data

Revstat Statistical Journal, 2022
Partial least squares (PLS) regression reduces the regression problem from a large-p number of interrelated predictors to a small-m number of extracted factors.
Athanasios Kondylis
doaj   +2 more sources

Globally sparse PLS regression [PDF]

, 2013
Volume 56 ; Print ISBN : 978-1-4614-8282-6Partial least squares (PLS) regression combines dimensionality reduction and prediction using a latent variable model.
A. Beck, A. Höskuldsson, A. L. Boulesteix, C. J. Braak ter, C. J. Braak ter, D. Rossouw, F. R. Bach, H. Chun, H. Hotelling, H. Martens, H. Wold, H. Wold, I. Jolliffe, I. T. Jolliffe, J. Magidson, M. Tenenhaus, S. Jong de, S. Jong de, S. Jong de, S. Wold, S. Wold, W. Gander   +21 more
core   +6 more sources

Potential of Multiway PLS (N-PLS) Regression Method to Analyse Time-Series of Multispectral Images: A Case Study in Agriculture

Remote Sensing, 2022
Recent literature reflects the substantial progress in combining spatial, temporal and spectral capacities for remote sensing applications. As a result, new issues are arising, such as the need for methodologies that can process simultaneously the ...
Eva Lopez-Fornieles, Guilhem Brunel, Florian Rancon, Belal Gaci, Maxime Metz, Nicolas Devaux, James Taylor, Bruno Tisseyre, Jean-Michel Roger   +8 more
doaj   +2 more sources

Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar

Remote Sensing, 2017
Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy with partial least squares (PLS) regression is a quick, cost-effective, and promising technology for predicting soil properties.
Kensuke Kawamura, Yasuhiro Tsujimoto, Michel Rabenarivo, Hidetoshi Asai, Andry Andriamananjara, Tovohery Rakotoson   +5 more
doaj   +2 more sources

Penalized versions of functional PLS regression [PDF]

Chemometrics and Intelligent Laboratory Systems, 2016
Project P11-FQM-8068 from Consejería de Innovación, Ciencia y Empresa.
Aguilera Del Pino, Ana María, Aguilera Morillo, María del Carmen, Preda, C   +2 more
openaire   +4 more sources

Predicting LDPE/HDPE blend composition by CARS-PLS regression and confocal Raman spectroscopy

Polímeros, 2019
Industries and the scientific community currently focus on creating new ways to recycle and to reuse polymer waste that leads to serious socio-environmental risks.
Daniel José da Silva, Hélio Wiebeck
doaj   +2 more sources