Tree-based variable selection for dimensionality reduction of large-scale control systems.
Andrea CastellettiStefano GalelliMarcello RestelliRodolfo Soncini-SessaPublished in: ADPRL (2011)
Keyphrases
- variable selection
- dimensionality reduction
- high dimensional
- high dimensional data
- dimension reduction
- control system
- input variables
- cross validation
- low dimensional
- linear models
- feature selection
- stochastic search
- high dimensionality
- model selection
- high dimensional data analysis
- principal component analysis
- pattern recognition
- feature space
- unsupervised learning
- data points
- number of input variables
- feature extraction
- linear discriminant analysis
- ls svm
- low rank
- training data
- real world
- random projections
- dimensionality reduction methods
- singular value decomposition
- group lasso
- object recognition
- preprocessing