Sparse structural feature selection for multitarget regression.
Haoliang YuanJunjie ZhengLoi Lei LaiYuan Yan TangPublished in: Knowl. Based Syst. (2018)
Keyphrases
- feature selection
- sparse regression
- feature selection and classification
- sparse pca
- supervised feature selection
- support vector machines for classification
- model selection
- sparse bayesian learning
- support vector
- regression problems
- sparse kernel
- regression model
- structural information
- high dimension
- text categorization
- relevance vector machine
- linear regression
- canonical correlation analysis
- support vector machine
- web image annotation
- unsupervised learning
- classification accuracy
- high dimensional
- machine learning
- feature space
- selected features
- multi class
- feature selection algorithms
- information gain
- classification models
- high dimensionality
- simple linear
- regression algorithm
- unsupervised feature selection
- regression function
- sparse approximations
- feature set
- partial least squares
- feature extraction
- dimensionality reduction
- sparse representation
- sparse data
- feature ranking
- discriminative features
- mutual information
- regularized regression