Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification.
Pawel TeisseyreDamien ZuffereyMarta SlomkaPublished in: Pattern Recognit. (2019)
Keyphrases
- multi label classification
- cost sensitive
- binary classification
- multi label
- cost sensitive classification
- multi class
- binary classifiers
- cost sensitive learning
- misclassification costs
- feature space
- feature set
- support vector machine
- class labels
- svm classifier
- image annotation
- classification algorithm
- feature vectors
- text categorization
- learning problems
- image classification
- multi class classification
- support vector
- class imbalance
- decision trees
- ensemble methods
- semi supervised learning
- machine learning
- information retrieval
- machine learning algorithms
- small number
- image features
- information extraction
- classification accuracy
- active learning
- reinforcement learning
- bayesian networks
- feature selection