An evolutionary approach to build ensembles of multi-label classifiers.
Jose M. MoyanoEva Lucrecia Gibaja GalindoKrzysztof J. CiosSebastián VenturaPublished in: Inf. Fusion (2019)
Keyphrases
- multi label
- multi label classification
- class labels
- text categorization
- classifier training
- image classification
- ensemble learning
- image annotation
- binary classification
- decision trees
- multi instance
- graph cuts
- text classification
- binary classifiers
- base learners
- multi label learning
- classification algorithm
- learning tasks
- base classifiers
- semi supervised learning
- training data
- multi label image annotation
- ensemble methods
- naive bayes
- multiple labels
- feature selection
- support vector
- automatic text classification
- label assignment
- meta level
- semi supervised
- machine learning
- protein function prediction
- image processing
- training set
- prior knowledge
- multi class
- svm classifier
- supervised learning
- weak classifiers
- feature set
- random forests
- markov random field
- training samples
- training examples
- machine learning algorithms