Improving the Performance of Multi-Label Classifiers via Label Space Reduction.
Jose M. MoyanoJosé María LunaSebastián VenturaPublished in: COINS (2022)
Keyphrases
- multi label
- multi label classification
- space reduction
- class labels
- multilabel classification
- text categorization
- image annotation
- label space
- image classification
- binary classification
- multiple labels
- graph cuts
- multi instance
- text classification
- multi label learning
- classifier training
- classification algorithm
- binary classifiers
- feature selection
- max margin
- naive bayes
- feature space
- single instance
- label assignment
- multi label image annotation
- multiclass classification
- single label classification
- training examples
- principal component analysis
- training set
- training data
- semi supervised learning
- meta level
- label propagation
- supervised learning
- active learning
- support vector
- image processing
- protein function prediction
- computer vision
- data mining
- data sets