Threshold optimisation for multi-label classifiers.
Ignazio PillaiGiorgio FumeraFabio RoliPublished in: Pattern Recognit. (2013)
Keyphrases
- multi label
- multi label classification
- class labels
- image classification
- text categorization
- classifier training
- binary classification
- graph cuts
- image annotation
- text classification
- learning tasks
- multi label image annotation
- binary classifiers
- training data
- multiple labels
- max margin
- semi supervised learning
- multi instance
- classification algorithm
- naive bayes
- svm classifier
- multiclass classification
- multi label learning
- feature selection
- supervised learning
- machine learning algorithms
- support vector
- hierarchical text categorization
- decision trees
- cost sensitive
- labeled data
- markov random field
- image features
- active learning
- prior knowledge
- object recognition
- error correcting output codes
- protein function prediction
- label assignment