Misclassification Risk and Uncertainty Quantification in Deep Classifiers.
Murat SensoyMaryam SalekiSimon JulierReyhan AydoganJohn ReidPublished in: WACV (2021)
Keyphrases
- risk measures
- risk averse
- expected utility
- risk aversion
- support vector
- training data
- error rate
- uncertain data
- test set
- risk factors
- classification rate
- multiple classifiers
- decision theoretic
- linear classifiers
- risk assessment
- naive bayes
- risk management
- supervised classification
- ensemble learning
- classification algorithm
- individual classifiers
- extreme events
- training set
- semi supervised learning
- training samples
- majority voting
- high risk
- machine learning algorithms
- class labels
- classification systems
- utility function
- machine learning methods