Results 81 to 90 of about 614,693 (221)

Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting [PDF]

This paper revisits a number of data-rich prediction methods, like factor models, Bayesian ridge regression and forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative method: partial ...
George Kapetanios, Jan J.J. Groen
core  

Selective protein quantification for preparative chromatography using variable pathlength UV/Vis spectroscopy and partial least squares regression

, 2018
In preparative protein chromatography, broad dynamic ranges of protein concentrations as well as co-elution of product and impurities are common. Despite being the standard in biopharmaceutical production, monitoring of preparative chromatography is ...
Nina Brestrich, Matthias Rüdt, Daniel Büchler, J. Hubbuch   +3 more
semanticscholar   +1 more source

Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine

Discrete Dynamics in Nature and Society, 2020
Partial least squares method has many advantages in multivariate linear regression modeling, but its internal cross-checking method will lead to a sharp reduction of the principal component, thereby reducing the accuracy of the regression equation, and ...
Wang-ping Xiong, Tian-ci Li, Qing-xia Zeng, Jian-qiang Du, Bin Nie, Chih-Cheng Chen, Xian Zhou   +6 more
doaj   +1 more source

Multi-view predictive partitioning in high dimensions

, 2012
Many modern data mining applications are concerned with the analysis of datasets in which the observations are described by paired high-dimensional vectorial representations or "views".
McWilliams, Brian, Montana, Giovanni
core   +1 more source

Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows.

Journal of Dairy Science, 2019
Assessing the cheese-making properties (CMP) of milks with a rapid and cost-effective method is of particular interest for the Protected Designation of Origin cheese sector.
M. Jabri, M.P. Sanchez, P. Trossat, C. Laithier, V. Wolf, Philippe Grosperrin, E. Beuvier, O. Rolet-Répécaud, S. Gavoye, Y. Gaüzère, O. Belysheva, E. Notz, D. Boichard, A. Delacroix-Buchet   +13 more
semanticscholar   +1 more source

Partial Least Squares tutorial for analyzing neuroimaging data [PDF]

Tutorials in Quantitative Methods for Psychology, 2014
Partial least squares (PLS) has become a respected and meaningful soft modeling analysis technique that can be applied to very large datasets where the number of factors or variables is greater than the number of ...
Patricia Van Roon, Jila Zakizadeh, Sylvain Chartier   +2 more
doaj  

Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

PLoS ONE, 2017
In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability.
Kosuke Yoshida, Yu Shimizu, J. Yoshimoto, M. Takamura, G. Okada, Y. Okamoto, S. Yamawaki, K. Doya   +7 more
semanticscholar   +1 more source

Prediction of selectivity index of pentachlorophenol-imprinted polymers [PDF]

, 2006
A data set comprising of the selectivity index of pentachlorophenol-imprinted polymers against 53 pentachlorophenol and related compounds was obtained from the excellent work of Baggiani et al.
Isarankura-Na-Ayudhya, Chartchalerm, Naenna, Thanakorn, Nantasenamat, Chanin, Prachayasittikul, Virapong, Tantimongcolwat, Tanawut   +4 more
core  

Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis

Algorithms
Partial Least Squares (PLS) regression has been widely used to model the relationship between predictors and responses. However, PLS may be limited in its capacity to handle complex spectral data contaminated with significant noise and interferences.
Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li   +4 more
doaj   +1 more source

Prediction of beef marblingusing Hyperspectral Imaging (HSI) and Partial Least Squares Regression (PLSR)

Scientia Agropecuaria, 2017
The aim of this study was to build a model to predict the beef marbling using HSI and Partial Least Squares Regression (PLSR). Totally 58 samples of longissmus dorsi muscle were scanned by a HSI system (400 - 1000 nm) in reflectance mode,
Victor Aredo, Lía Velásquez, Raúl Siche   +2 more
doaj   +2 more sources