Structured Dimensionality Reduction for Additive Model Regression.
Alhussein FawziJean-Baptiste FiotBei ChenMathieu SinnPascal FrossardPublished in: IEEE Trans. Knowl. Data Eng. (2016)
Keyphrases
- additive model
- dimensionality reduction
- linear model
- monte carlo simulation
- high dimensional data
- regression model
- feature extraction
- pattern recognition
- principal component analysis
- feature space
- high dimensional
- low dimensional
- dimensionality reduction methods
- linear discriminant analysis
- principal components
- high dimensionality
- support vector regression
- manifold learning
- regression analysis
- structured data
- kernel learning
- kernel pca
- nonlinear dimensionality reduction
- feature selection
- data representation
- input space
- monte carlo
- reinforcement learning
- data sets
- model selection
- least squares
- data points
- dynamic programming