Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors.
Yanjun LiYoram BreslerPublished in: CoRR (2016)
Keyphrases
- nonlinear regression
- dimensionality reduction
- linear regression
- principal components
- support vector regression
- support vector machine
- high dimensional data
- low dimensional
- principal component analysis
- regression problems
- high dimensionality
- high dimensional
- regression method
- feature extraction
- pattern recognition
- data points
- input space
- feature space
- regression methods
- singular value decomposition
- feature vectors
- input data
- neural network
- linear discriminant analysis
- least squares
- active learning
- feature selection
- genetic programming
- machine learning
- evolutionary algorithm
- decision trees
- image processing