Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers.
Angelo BasileMarc Franco-SalvadorPaolo RossoPublished in: CoRR (2022)
Keyphrases
- rank aggregation
- supervised classification
- class labels
- multilabel classification
- class membership
- diversity measures
- multi label classification
- training data
- supervised learning
- accurate classification
- semi supervised
- feature ranking
- high level
- multi label
- web search
- ranking functions
- unsupervised learning
- machine learning algorithms
- classification algorithm
- decision trees
- training set
- link analysis
- ensemble learning
- feature selection
- ranking algorithm
- supervised training
- label ranking
- training samples
- ranked list
- majority voting
- probability estimation
- decision boundary
- linear classifiers
- unsupervised manner
- data sets
- pairwise comparison
- scoring functions
- naive bayes
- machine learning
- binary classifiers
- classifier ensemble
- classification models
- learning to rank
- logistic regression
- feature set