Results 21 to 30 of about 3,504 (232)

Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data [PDF]

open access: yes, 2005
Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data.
Boulesteix, Anne-Laure   +1 more
core   +2 more sources

Non-Destructive Classification of Fruits Based on Vis-nir Spectroscopy and Principal Component Analysis

open access: yesJurnal Biodjati, 2019
Fruits are one of the sources of nutrition needed for health. Fruit quality is generally assessed by physical and chemical properties. Measurement of fruit internal quality is usually done by destructive techniques. Ultraviolet, visible and near-infrared
Kusumiyati Kusumiyati   +2 more
doaj   +1 more source

Learning to predict distributions of words across domains [PDF]

open access: yes, 2014
Although the distributional hypothesis has been applied successfully in many natural language processing tasks, systems using distributional information have been limited to a single domain because the distribution of a word can vary between domains as ...
Bollegala, Danushka   +2 more
core   +2 more sources

Globally sparse PLS regression [PDF]

open access: yes, 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   +21 more
core   +2 more sources

Fault Analysis Of Process System Using Multi Block Principal Component Analysis

open access: yesReaktor, 2017
This research looks into the issues of the quality improvement based on process control instead of product control using multivariate statistical process contro.
S. B. Sasongko, K. A. Ibrahim, A. Ahmad
doaj   +1 more source

Global assessment of biomass suitability for ironmaking — opportunities for co-location of sustainable biomass, iron and steel production and supportive policies [PDF]

open access: yes, 2018
Iron and steel production processes are amongst the biggest industrial contributors to the global carbon emissions, and national as well as international obligations are set to drive their significant emission reductions.
Al-Yahyai   +35 more
core   +3 more sources

Design of a Virtual Sensor Data Array for the Analysis of RDX, HMX and DMNB Using Metal-Doped Screen Printed Electrodes and Chemometric Analysis

open access: yesInternational Journal of Electrochemical Science, 2013
The detection of explosive substances is a subject of high importance in several areas including environmental health, de-mining efforts (land and sea) and security and defence against terrorist activity.
Rebeca Jimenez-Perez   +3 more
doaj   +1 more source

Forward Selection Component Analysis: Algorithms and Applications [PDF]

open access: yes, 2017
Principal Component Analysis (PCA) is a powerful and widely used tool for dimensionality reduction. However, the principal components generated are linear combinations of all the original variables and this often makes interpreting results and root-cause
McLoone, Sean, Puggini, Luca
core   +1 more source

Partial Least Squares tutorial for analyzing neuroimaging data [PDF]

open access: yesTutorials 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   +2 more
doaj  

Process Analytical Approach towards Quality Controlled Process Automation for the Downstream of Protein Mixtures by Inline Concentration Measurements Based on Ultraviolet/Visible Light (UV/VIS) Spectral Analysis

open access: yesAntibodies, 2017
Downstream of pharmaceutical proteins, such as monoclonal antibodies, is mainly done by chromatography, where concentration determination of coeluting components presents a major problem.
Steffen Zobel-Roos   +3 more
doaj   +1 more source

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