Sparse feature selection and rare value prediction in imbalanced regression.
Ying GuanGuang-Hui FuPublished in: Inf. Sci. (2024)
Keyphrases
- feature selection
- model selection
- prediction accuracy
- stepwise regression
- prediction model
- regression model
- rare events
- sparse regression
- supervised feature selection
- support vector machines for classification
- text categorization
- sparse pca
- support vector
- linear regression model
- feature selection and classification
- sparse kernel
- class imbalance
- linear regression
- classification accuracy
- sparse bayesian learning
- web image annotation
- imbalanced data
- mutual information
- predictive clustering trees
- relevance vector machine
- support vector regression
- survival analysis
- high dimension
- regression method
- regression problems
- feature selection algorithms
- text classification
- high dimensional
- imbalanced datasets
- selected features
- ensemble learning
- high dimensionality
- artificial neural networks
- feature space
- data sets