Classification multi-labels graduée: Apprendre les relations entre les labels ou limiter la propagation d'erreur ?
Khalil LaghmariChristophe MarsalaMohammed RamdaniPublished in: EGC (2017)
Keyphrases
- class labels
- training set
- multi label classification
- classification accuracy
- classification systems
- multi label
- pattern recognition
- image classification
- annotation effort
- confidence scores
- pattern classification
- pairwise
- class membership
- decision trees
- machine learning
- classification algorithm
- classification scheme
- classification rules
- unseen data
- collective classification
- unlabeled samples
- label information
- supervised classification
- training data
- decision rules
- labeling process
- supervised learning
- multi label learning
- feature extraction
- supervised classifiers
- labelled data
- category labels
- active learning framework
- data sets
- image labeling
- feature vectors
- automatic classification
- support vector
- preprocessing
- training examples
- text categorization
- semi supervised learning
- support vector machine