Kernel Feature Selection via Conditional Covariance Minimization.
Jianbo ChenMitchell SternMartin J. WainwrightMichael I. JordanPublished in: CoRR (2017)
Keyphrases
- feature selection
- feature space
- class separability
- support vector
- text categorization
- kernel function
- hilbert schmidt
- kernel learning
- feature set
- multiple kernel learning
- mutual information
- kernel methods
- objective function
- reproducing kernel hilbert space
- multi class
- covariance matrix
- high dimensionality
- dimensionality reduction
- selected features
- feature selection algorithms
- input space
- method for feature selection
- gaussian processes
- feature extraction
- classification accuracy
- irrelevant features
- text classification
- machine learning
- feature subset
- unsupervised feature selection
- linear svm
- feature ranking
- support vector machine
- feature weighting
- cross validation
- covariance matrices
- microarray data
- classification models