IEEE

Kernel PLS Regression II: Kernel Partial Least Squares Regression by Projecting Both ...

Abstract: we propose a regression method using partial least square (PLS) technique and kernel method, which we refer to as kernel partial least square regression II to distinguish the conventional ...
GitHub

Exploration of PLS-SVM Regression

In predictive modeling, Partial Least Squares (PLS) and Support Vector Machines (SVM) offer two powerful regression approaches. Understanding the differences between ...
Frontiers

PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non ...

Apart from genomics or proteomics, metabolomics is a relatively new and dynamically developing field of systems biology. Metabolomics is focused on qualitative and quantitative analysis of ...
GitHub

test_pls_regression.py

Suite of tests to assess coherence and functionality of the PLS regression object. class TestPLS(unittest.TestCase): Test the ChemometricsPLS object functionality, in ...
Frontiers

Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using ...

1 LIST3N, Université de Technologie de Troyes, Troyes, France 2 IRMA, CNRS UMR 7501, Labex IRMIA, Université de Strasbourg, Strasbourg, France Fitting Cox models in a big data context -on a massive ...