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» New Estimation Procedures for PLS Path Modelling
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CORR
2008
Springer
85views Education» more  CORR 2008»
13 years 5 months ago
New Estimation Procedures for PLS Path Modelling
: Given R groups of numerical variables X1, ... XR, we assume that each group is the result of one underlying latent variable, and that all latent variables are bound together thro...
Xavier Bry
ESANN
2006
13 years 6 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
CGF
2008
174views more  CGF 2008»
13 years 5 months ago
Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow
Typically, flow volumes are visualized by defining their boundary as iso-surface of a level set function. Grid-based level sets offer a good global representation but suffer from ...
Nicolas Cuntz, Andreas Kolb, Robert Strzodka, Dani...
GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
13 years 10 months ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 3 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki