Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers.
Angelo BasileMarc Franco-SalvadorPaolo RossoPublished in: NLDB (2022)
Keyphrases
- rank aggregation
- multilabel classification
- class labels
- supervised classification
- class membership
- accurate classification
- diversity measures
- feature ranking
- feature selection
- ranking algorithm
- decision trees
- multi label classification
- training data
- label ranking
- supervised learning
- probability estimation
- multi label
- ranking functions
- support vector
- training set
- semi supervised
- test set
- high level
- unsupervised learning
- learning to rank
- web search
- logistic regression
- naive bayes
- machine learning
- linear classifiers
- machine learning algorithms
- classification algorithm
- unsupervised manner
- svm classifier
- individual features
- multi class
- supervised training
- scoring functions
- supervised methods
- feature set
- classification accuracy
- training samples
- aggregation operators
- labeled images
- decision boundary
- training examples
- ranked list
- information retrieval