Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers.
Apoorv VyasNataraj JammalamadakaXia ZhuDipankar DasBharat KaulTheodore L. WillkePublished in: CoRR (2018)
Keyphrases
- ensemble learning
- training data
- ensemble classifier
- multiple classifiers
- classifier ensemble
- feature selection
- ensemble pruning
- ensemble methods
- training set
- individual classifiers
- machine learning algorithms
- detection rate
- majority voting
- multiple classifier systems
- decision tree classifiers
- final classification
- one class support vector machines
- accurate classifiers
- machine learning
- majority vote
- mining concept drifting data streams
- neural network
- detection method
- detection algorithm
- data distribution
- binary classification problems
- training examples
- object detection
- support vector machine
- ensemble classification
- decision trees
- bias variance decomposition
- class label noise
- concept drifting data streams
- boosted classifiers
- randomized trees
- learning algorithm
- test set
- svm classifier
- imbalanced data
- classification algorithm