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Parametric Nonlinear Model Reduction Using Machine Learning on Grassmann Manifold with an Application on a Flow Simulation.
Norapon Sukuntee
Saifon Chaturantabut
Published in:
J. Nonlinear Sci. (2024)
Keyphrases
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nonlinear models
machine learning
grassmann manifold
linear model
component analysis
pattern recognition
data sets
stochastic gradient
feature selection
probabilistic model
machine learning algorithms
active learning
learning algorithm
support vector machine
semi supervised
text classification
semi supervised learning
sparse representation
logistic regression
feature space
data analysis