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Partial least squares regression
Known as:
PLS
, Projection to latent structures
, Partial Linear Squares
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Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of…
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Related topics
18 relations
Causal inference
Chemometrics
Data mining
Feature extraction
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Broader (1)
Least squares
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Forecasting Stock Price Using Partial Least Squares Regression
Shekar Singh
,
Seema Sharma
Confluence
2018
Corpus ID: 52116023
Financial markets are systems where buyers and sellers interact and various transactions of ownership claims (stocks) takes place…
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2017
2017
Partial Least Squares Regression in Payment Default Prediction
E. Laitinen
2017
Corpus ID: 59433477
Payment default is affected by many interrelated factors. When concentrating on financial data, payment default can be predicted…
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2008
2008
3D face shape approximation from intensities using Partial Least Squares
Mario Castelán
,
J. V. Horebeek
IEEE Computer Society Conference on Computer…
2008
Corpus ID: 17615473
In this paper, we apply partial least squares (PLS) regression to predict 3D face shape from a single image. PLS describes the…
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2007
2007
Summary of Partial Least Squares Regression
Wang Xiaoning
2007
Corpus ID: 124723118
The partial least squares is introduced and summarized.The direct solution method of partial least squares and the partial least…
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2006
2006
Use of Partial Least Squares Regression and Multidimensional Scaling on Aroma Models of California Chardonnay Wines
Seung-Joo Lee
,
A. Noble
American Journal of Enology and Viticulture
2006
Corpus ID: 94283198
The aroma models of California Chardonnay wines were developed and evaluated using multivariate statistical procedures to…
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2005
2005
Theory and Application of Partial Least Squares Regression
Chen Chong
2005
Corpus ID: 123599669
Objective To study the theory and application of partial least squares regression (PLS). To compare PLS with principal component…
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2004
2004
Combined use of partial least squares regression and neural network for diagnosis tasks
A. Debiolles
,
L. Oukhellou
,
P. Aknin
Proceedings of the 17th International Conference…
2004
Corpus ID: 6137991
This work deals with a diagnosis system, based on a combined use of partial least squares regression (PLS) and neural network (NN…
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2003
2003
Sparse Kernel Partial Least Squares Regression
Michinari Momma
,
Kristin P. Bennett
Annual Conference Computational Learning Theory
2003
Corpus ID: 29475854
Partial Least Squares Regression (PLS) and its kernel version (KPLS) have become competitive regression approaches. KPLS performs…
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Highly Cited
2001
Highly Cited
2001
Prediction of basic wood properties for Norway spruce. Interpretation of Near Infrared Spectroscopy data using partial least squares regression
J. Hauksson
,
G. Bergqvist
,
U. Bergsten
,
M. Sjöström
,
U. Edlund
Wood Science and Technology
2001
Corpus ID: 21939091
Abstract This work was undertaken to investigate the feasibility of using near infrared spectroscopy (NIR) and partial least…
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2000
2000
Drift Reduction For Metal-Oxide Sensor Arrays Using Canonical Correlation Regression And Partial Least Squares
R. Gutierrez-Osuna
2000
Corpus ID: 12536318
The transient response of metal-oxide sensors exposed to mild odours can be oftentimes highly correlated with the behaviour of…
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