Review of ensembles of multi-label classifiers: Models, experimental study and prospects.
Jose M. MoyanoEva Lucrecia Gibaja GalindoKrzysztof J. CiosSebastián VenturaPublished in: Inf. Fusion (2018)
Keyphrases
- experimental study
- multi label
- multi label classification
- class labels
- image classification
- decision trees
- text categorization
- training data
- probabilistic model
- multi label image annotation
- graph cuts
- data sets
- experimental evaluation
- text classification
- machine learning algorithms
- feature selection
- machine learning methods
- hierarchical text categorization
- binary classification
- feature selections
- labeled data
- image annotation
- naive bayes
- markov random field
- small number
- support vector
- machine learning