Aggregating Independent and Dependent Models to Learn Multi-label Classifiers.
Elena MontañésJosé Ramón QuevedoJuan José del CozPublished in: ECML/PKDD (2) (2011)
Keyphrases
- multi label
- multi label classification
- text categorization
- class labels
- multi label learning
- learning tasks
- graph cuts
- machine learning
- image annotation
- probabilistic model
- machine learning methods
- classification algorithm
- machine learning algorithms
- multi label image annotation
- text classification
- image classification
- semi supervised learning
- feature set
- nearest neighbor
- image features
- knn
- feature space
- object recognition
- support vector
- max margin
- multiple labels
- training data
- protein function prediction
- statistical topic models
- feature selection