Multi-Kernel Based Feature Selection for Regression.
Chao-Zhe LinXian-Kai ChenPublished in: ICIC (2) (2012)
Keyphrases
- feature selection
- support vector
- support vector machine
- hilbert schmidt independence criterion
- kernel ridge regression
- support vector machines for classification
- model selection
- regression problems
- regression model
- sparse kernel
- feature selection algorithms
- kernel methods
- text categorization
- classification accuracy
- machine learning
- mutual information
- multi class
- supervised feature selection
- svm classifier
- high dimensionality
- genetic algorithm
- linear regression
- information gain
- feature set
- feature extraction
- knn
- regression algorithm
- regression function
- data sets
- online learning
- locally weighted
- irrelevant features
- feature weighting
- cross validation
- text classification
- support vector machine svm