Dimensionality Reduction and Wasserstein Stability for Kernel Regression.
Stephan EcksteinArmin IskeMathias TrabsPublished in: CoRR (2022)
Keyphrases
- kernel regression
- dimensionality reduction
- regression model
- nadaraya watson
- high dimensional data
- low dimensional
- high dimensionality
- principal component analysis
- feature extraction
- linear regression
- high dimensional
- pattern recognition
- data points
- regression methods
- feature space
- parameter optimization
- neural network
- singular value decomposition
- feature selection
- linear discriminant analysis
- machine learning