Results 41 to 50 of about 25,590 (247)
Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]
, 2014 A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya +3 more
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Constrained numerical optimization of PCR/PLSR predictors [PDF]
Chemometrics and Intelligent Laboratory Systems, 2003 Abstract Assuming a fully known latent variables (LV) model, the optimal multivariate calibration predictor is found from Kalman filtering theory. From this follows the best possible column space for a loading weight matrix W opt. in a predictor based on the latent variables, and thus the optimal factorization of the regressor matrix X . Although
openaire +2 more sources
Fast Selection of Spectral Variables with B-Spline Compression [PDF]
, 2007 The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy.
François, Damien +4 more
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Applied Sciences, 2022 Partial least square regression (PLSR) is a reference statistical model in chemometrics. In agronomy, it is used to predict components (response variables y) of chemical composition of vegetal materials from spectral near infrared (NIR) data X collected ...
Mathieu Lesnoff +8 more
doaj +1 more source
Model Building by Merging Submodels Using PLSR
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2003 PLSR (partial least squares regression) has become a basic tool for chemometrics, monitoring and modeling of processes, etc. The basic idea of PLSR is to relate two data matrices X and Y into a multivariate linear model, for analysis of the data with noisy and collinear variables.
Li, Cheng-Chih, H.P., Huang
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Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study [PDF]
, 2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Casamitjana Díaz, Adrià +4 more
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Laboratory evaluation of the PLSR method to estimate Atterberg limits of soil by field spectroscopy [PDF]
مجله جنگل ایران, 2019 Generally in developing countries such as Iran, the studies in soil mechanics are rarely done or even not conducted due to high cost and time of research and conventional laboratory methods, so the lack of information in this field can damage the ...
Fatemeh Mousavi +4 more
doaj
Geomatics, Natural Hazards & Risk, 2019 Arid regions are composite of complex structures. Desertification and land degradation of these arid regions need appropriate measures in accordance with time.
Koyel Sur, Prakash Chauhan
doaj +1 more source
Frontiers in Plant Science, 2021 Real-time, nondestructive, and accurate estimation of plant water status is important to the precision irrigation of winter wheat. The objective of this study was to develop a method to estimate plant water content (PWC) by using canopy spectral proximal
Hui Sun +9 more
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A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis [PDF]
, 2008 Prediction problems from spectra are largely encountered in chemometry. In addition to accurate predictions, it is often needed to extract information about which wavelengths in the spectra contribute in an effective way to the quality of the prediction.
Alsberg +22 more
core +5 more sources