Dimensionality reduction based on ICA for regression problems.
Nojun KwakChunghoon KimHwangnam KimPublished in: Neurocomputing (2008)
Keyphrases
- regression problems
- dimensionality reduction
- input space
- high dimensional data
- independent component analysis
- principal component analysis
- feature extraction
- genetic programming
- linear regression
- low dimensional
- feature selection
- cross validation
- high dimensional
- data points
- face recognition
- pattern recognition
- nearest neighbor
- missing values
- feature space
- hyperparameters
- data sets
- support vector machine
- random forests
- machine learning
- neural network
- image reconstruction
- metric learning
- kernel function
- evolutionary algorithm
- learning machines
- genetic algorithm