Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators.
Zhe BaiLiqian PengPublished in: Adv. Model. Simul. Eng. Sci. (2021)
Keyphrases
- nonlinear models
- low dimensional
- machine learning
- high dimensional
- linear model
- dimensionality reduction
- pattern recognition
- high dimensional data
- logistic regression
- model selection
- dimension reduction
- feature space
- learning algorithm
- feature selection
- data points
- decision trees
- text mining
- text classification
- statistical models
- computer vision
- control law
- linear models
- data mining
- principal component analysis
- data analysis
- image sequences
- learning tasks