Results 11 to 20 of about 5,862,641 (174)

Partial Least Squares Regression for Binary Data

Mathematics
Classical Partial Least Squares Regression (PLSR) models were developed primarily for continuous data, allowing dimensionality reduction while preserving relationships between predictors and responses. However, their application to binary data is limited.
Laura Vicente-Gonzalez, Elisa Frutos-Bernal, Jose Luis Vicente-Villardon   +2 more
doaj   +2 more sources

Partial least square regression applied to the QTLMAS 2010 dataset [PDF]

, 2010
Detection of genomic regions affecting traits is a goal in many genetic studies. Studies applying distinct methods for detection of these regions, called quantitative trait loci (QTL), have been described, ranging from single marker regression [1] to ...
Calus, M.P.L., Coster, A., Albart Coster, Mario P L Calus   +3 more
core   +1 more source

A New Robust Partial Least Squares Regression Method Based on a Robust and an Efficient Adaptive Reweighted Estimator of Covariance

Revstat Statistical Journal, 2019
Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or “partial” version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor ...
Esra Polat , Suleyman Gunay
doaj   +1 more source

Orthogonal least squares regression with tunable kernels [PDF]

, 2005
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X.X., Chen, S., Brown, D.J.
core   +2 more sources

Quantification and Detection of Ground Garlic Adulteration Using Fourier-Transform Near-Infrared Reflectance Spectra

Foods, 2023
This study demonstrates the rapid and cost-effective possibility of quantifying adulterant amounts (corn flour or corn starch) in ground and dried garlic samples.
Michal Daszykowski, Michal Kula, Ivana Stanimirova   +2 more
doaj   +1 more source

A Comparative Regression Analysis between Principal Component and Partial Least Squares Methods for Flight Load Calculation

Applied Sciences, 2023
This study investigates and compares various multivariate regression methods, including principal component regression (PCR) and partial least squares regression (PLSR), for flight load analysis and demonstrates their high learning efficiency and strong ...
Qi Yan, Chao Yang, Zhiqiang Wan
doaj   +1 more source

Peroxidase Activity in Tomato Leaf Cells under Salt Stress Based on Micro-Hyperspectral Imaging Technique

Horticulturae, 2022
Salt stress has become a major problem in the tomato planting process, of which peroxidase (POD) activity is an important parameter reflecting the antioxidant capacity of plants.
Longguo Wu, Qiufei Jiang, Yao Zhang, Minghua Du, Ling Ma, Yan Ma   +5 more
doaj   +1 more source

Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms

Molecules, 2023
Rapid and accurate detection of protein toxins is crucial for public health. The Raman spectra of several protein toxins, such as abrin, ricin, staphylococcal enterotoxin B (SEB), and bungarotoxin (BGT), have been studied.
Pengjie Zhang, Bing Liu, Xihui Mu, Jiwei Xu, Bin Du, Jiang Wang, Zhiwei Liu, Zhaoyang Tong   +7 more
doaj   +1 more source

Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance [PDF]

, 2010
The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV).
Bovenhuis, H., Bastiaansen John WM, Bovenhuis Henk, van Arendonk Johan AM, Calus Mario PL, John W. M. Bastiaansen, Mario P. L. Calus, Coster, A., Albart Coster, Henk Bovenhuis, Bastiaansen, J.W.M., Calus, M.P.L., Johan A. M. van Arendonk, Arendonk, J.A.M., van, van Arendonk, J.A.M., Coster Albart   +15 more
core   +1 more source

Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate

International Journal of Analytical Chemistry, 2015
Online near-infrared spectroscopy was used as a process analysis technique in the synthesis of 2-chloropropionate for the first time. Then, the partial least squares regression (PLSR) quantitative model of the product solution concentration was ...
Wei Zhang, Hang Song, Jing Lu, Wen Liu, Lirong Nie, Shun Yao   +5 more
doaj   +1 more source