Well-calibrated confidence measures for multi-label text classification with a large number of labels.
Lysimachos MaltoudoglouAndreas PaisiosLadislav LencJirí MartínekPavel KrálHarris PapadopoulosPublished in: Pattern Recognit. (2022)
Keyphrases
- multi label
- text classification
- multi label classification
- text categorization
- image classification
- graph cuts
- multi instance
- image annotation
- multi label learning
- class labels
- confidence measures
- binary classification
- label space
- markov random field
- small number
- multiple labels
- single label classification
- stereo vision
- feature selection
- confidence measure
- text classifiers
- data sets
- training data
- hierarchical text categorization
- data mining