Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement.
Xuandong LongWenbin QianYinglong WangWenhao ShuPublished in: Appl. Intell. (2021)
Keyphrases
- multi label
- cost sensitive
- text categorization
- binary classification
- data sets
- multi label classification
- multi class
- data analysis
- feature selection
- training data
- multiple labels
- text classification
- multi label learning
- data points
- small number
- graph cuts
- knowledge discovery
- neural network
- cost sensitive learning
- label assignment
- class labels
- image classification
- natural language processing
- prior knowledge
- data mining