-norm minimization based negative label relaxation linear regression for feature selection.
Yali PengParamjit S. SehdevShigang LiuJun LiXili WangPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- linear regression
- norm minimization
- unsupervised feature selection
- feature selection
- convex optimization
- least squares
- convex relaxation
- matrix completion
- sparse representation
- data clustering
- sparse coding
- interior point methods
- machine learning
- text categorization
- multi label
- dimensionality reduction
- unsupervised learning
- support vector
- text classification
- feature set
- supervised learning
- naive bayes
- regression model
- feature subset
- objective function
- feature extraction