-norm least squares support vector regression with feature selection.
Ya-Fen YeYuan-Hai ShaoNai-Yang DengChun-Na LiXiang-Yu HuaPublished in: Appl. Math. Comput. (2017)
Keyphrases
- feature selection
- text categorization
- support vector
- mutual information
- feature extraction
- text classification
- multi class
- hilbert space
- classification accuracy
- feature selection algorithms
- information gain
- feature selection and classification
- feature weighting
- multi task
- high dimensionality
- model selection
- support vector machine
- feature space
- microarray data
- bayes classifier
- irrelevant features
- informative features
- unsupervised feature selection
- selecting features
- machine learning