LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.
Tengyu YinHongmei ChenZhong YuanBinbin SangShi-Jinn HorngTianrui LiChuan LuoPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- multi label
- mutual information
- feature selection
- text categorization
- text classification
- information gain
- multi label classification
- multilabel classification
- multi label learning
- conditional mutual information
- graph cuts
- multiple labels
- image classification
- label space
- label ranking
- image annotation
- machine learning
- label assignment
- image registration
- convex relaxation
- instance based learning
- similarity measure
- fuzzy sets
- support vector
- class labels
- random walker
- classification accuracy
- inter related
- max margin
- unlabeled data
- selection criterion
- fuzzy rules
- feature extraction
- support vector machine
- feature set
- unsupervised learning
- image processing
- data sets