Non-monotonic Feature Selection for Regression.
Haiqin YangZenglin XuIrwin KingMichael R. LyuPublished in: ICONIP (2) (2014)
Keyphrases
- feature selection
- supervised feature selection
- model selection
- support vector
- regression problems
- support vector machines for classification
- regression model
- mutual information
- text categorization
- feature set
- selected features
- unsupervised learning
- high dimensionality
- machine learning
- locally weighted
- feature relevance
- support vector regression
- feature selection algorithms
- feature weighting
- linear regression
- feature subset
- unsupervised feature selection
- method for feature selection
- text classification
- feature space
- information gain
- ridge regression
- polynomial regression
- hilbert schmidt independence criterion
- multi task
- cross validation
- irrelevant features
- simple linear
- partial least squares
- genetic programming
- dimensionality reduction
- feature extraction
- learning algorithm