Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
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TLDR
PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2001-10-28. It has received 7861 citations till now. The article focuses on the topics: Partial least squares regression.read more
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Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging
TL;DR: A near-infrared (NIR) hyperspectral imaging technique was investigated for non-destructive determination of chemical composition of intact and minced pork and predicted chemical composition with coefficients of determination of 0.92, 0.87 and 0.95 for protein, moisture and fat, respectively.
Journal ArticleDOI
Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data
Gaia Vaglio Laurin,Gaia Vaglio Laurin,Qi Chen,Jeremy A. Lindsell,David A. Coomes,Fabio Del Frate,Leila Guerriero,Francesco Pirotti,Riccardo Valentini +8 more
TL;DR: In this paper, a Partial Least Square Regression (PLSR) was adopted to cope with multiple inputs and multicollinearity issues; the Variable of Importance in the Projection was calculated to evaluate importance of individual predictors for biomass.
Journal ArticleDOI
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
TL;DR: This study focused on analyzing and discussing various published artificial intelligence and machine learning solutions, approaches and perspectives, aiming to advance academic solutions in paving the way for a new data-centric era of discovery in healthcare.
Journal ArticleDOI
Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach
TL;DR: In this article, a local partial least square regression approach was used to predict organic carbon (SOC) content of topsoil samples collected from 19,969 topsoils collected all over the European Union and scanned with a Vis-NIR spectrometer.
Journal ArticleDOI
Randomised clinical trial: Lactobacillus GG modulates gut microbiome, metabolome and endotoxemia in patients with cirrhosis.
Jasmohan S. Bajaj,Douglas M. Heuman,Phillip B. Hylemon,Arun J. Sanyal,Puneet Puri,Richard K. Sterling,Velimir A. Luketic,Richard T. Stravitz,M.S. Siddiqui,Michael Fuchs,Leroy R. Thacker,James B. Wade,Kalyani Daita,S. Sistrun,Melanie B. White,Nicole A. Noble,C. Thorpe,Genta Kakiyama,William M. Pandak,Masoumeh Sikaroodi,Patrick M. Gillevet +20 more
TL;DR: Safety of individual probiotic strains approved under Investigational New Drug (IND) policies in cirrhosis with minimal hepatic encephalopathy (MHE) is not clear.
References
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Book
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: In this article, the authors present a method for detecting and assessing Collinearity of observations and outliers in the context of extensions to the Wikipedia corpus, based on the concept of Influential Observations.
Book
A User's Guide to Principal Components
TL;DR: In this paper, the authors present a directory of Symbols and Definitions for PCA, as well as some classic examples of PCA applications, such as: linear models, regression PCA of predictor variables, and analysis of variance PCA for Response Variables.
Journal ArticleDOI
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
Bradley Efron,Gail Gong +1 more
TL;DR: This paper reviewed the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule, at a relaxed mathematical level, omitting most proofs, regularity conditions and technical details.