Feature Selection for Interval-Valued Data Based on D-S Evidence Theory.
Yichun PengQinli ZhangPublished in: IEEE Access (2021)
Keyphrases
- interval valued data
- feature selection
- regression model
- regression analysis
- linear regression models
- information fusion
- fault diagnosis
- text categorization
- feature set
- model selection
- linear regression model
- feature extraction
- classification accuracy
- text classification
- feature space
- feature subset
- dempster shafer
- dimensionality reduction
- least squares
- data mining
- support vector
- machine learning
- higher order
- prediction model
- classification models
- multi task
- genetic programming