Imperfect Labels with Belief Functions for Active Learning.
Arthur HoarauArnaud MartinJean-Christophe DuboisYolande Le GallPublished in: BELIEF (2022)
Keyphrases
- belief functions
- active learning
- annotation effort
- training examples
- dempster shafer theory
- label noise
- dempster shafer
- uncertain reasoning
- training set
- labeling effort
- probability function
- probability theory
- active learning framework
- learning algorithm
- evidential reasoning
- training data
- combination rule
- markov tree
- supervised learning
- selective sampling
- labeled data
- class labels
- set valued
- semi supervised learning
- probability functions
- uncertain information
- pairwise
- unlabeled data
- semi supervised
- multi label
- machine learning
- artificial intelligence
- evidence theory
- infrared
- pairwise constraints
- cost sensitive
- data mining