Classifier Probability Calibration Through Uncertain Information Revision.
Sara KebirKarim TabiaPublished in: IPMU (2) (2022)
Keyphrases
- uncertain information
- incomplete information
- knowledge base
- feature space
- training data
- camera calibration
- bayes rule
- probability estimates
- possibilistic logic
- uncertain data
- decision trees
- class membership
- classification method
- belief functions
- training set
- learning algorithm
- svm classifier
- belief revision
- class labels
- classification algorithm
- feature set
- support vector
- cooperative
- decision making
- feature selection
- neural network
- multi view
- knowledge representation
- probability distribution
- roc curve
- belief change
- classical logic
- data structure
- mathematical theory
- information retrieval