Boosting Uncertainty Estimation for Deep Neural Classifiers.
Yonatan GeifmanGuy UzielRan El-YanivPublished in: CoRR (2018)
Keyphrases
- ensemble learning
- randomized trees
- neural classifier
- boosting algorithms
- weak classifiers
- weak learners
- ensemble classifier
- adaboost algorithm
- boosting framework
- feature selection
- improving classification accuracy
- accurate classifiers
- decision stumps
- network architecture
- neural network
- decision trees
- multiple classifier systems
- training set
- support vector
- majority voting
- training data
- strong classifier
- ensemble classification
- multiclass classification
- classification systems
- ensemble methods
- machine learning methods
- boosted classifiers
- test set
- base classifiers
- bayesian classifiers
- uncertain data
- cost sensitive
- learning algorithm
- learning rules
- linear combination
- machine learning algorithms
- classification algorithm
- associative memory
- binary classification problems
- random forests
- roc curve
- classifier ensemble
- linear classifiers