Parametric Nonlinear Model Reduction Using Machine Learning on Grassmann Manifold with an Application on a Flow Simulation.
Norapon SukunteeSaifon ChaturantabutPublished in: J. Nonlinear Sci. (2024)
Keyphrases
- 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