FMLFS: A federated multi-label feature selection based on information theory in IoT environment.
Afsaneh MahanipourHana KhamfroushPublished in: CoRR (2024)
Keyphrases
- information theory
- multi label
- text categorization
- feature selection
- information theoretic
- multi label classification
- text classification
- jensen shannon divergence
- multi label learning
- statistical learning
- mutual information
- conditional entropy
- image classification
- graph cuts
- image annotation
- binary classification
- feature selections
- k nearest neighbor
- hierarchical text categorization
- machine learning
- class labels
- knn
- multiple labels
- classification accuracy
- feature selection algorithms
- data sets
- decision trees
- feature extraction
- support vector
- high dimensional
- feature subset
- support vector machine
- dimensionality reduction
- graphical models
- naive bayes