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Dimension reduction for uncertainty propagation and global sensitivity analyses of a cesium adsorption model.
Pierre Sochala
Christophe Chiaberge
Francis Claret
Christophe Tournassat
Published in:
J. Comput. Sci. (2024)
Keyphrases
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dimension reduction
data sets
principal component analysis
partial least squares
high dimensional
high dimensional problems
machine learning
feature extraction
preprocessing
feature space
dimensionality reduction
low dimensional
microarray
manifold learning
learning models