Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification.
Qiang DingYixuan CaoPing LuoPublished in: NeurIPS (2023)
Keyphrases
- training set
- training samples
- pattern recognition
- decision trees
- feature space
- classification scheme
- classification accuracy
- feature selection
- small sample
- optimum path forest
- neural network
- machine learning
- majority voting
- classifier ensemble
- image classification
- supervised learning
- support vector machine
- support vector
- classification rules
- feature vectors
- training data
- concept drifting data streams
- confidence scores
- final classification
- decision tree classifiers
- accurate classifiers
- wrapper feature selection
- multiple classifiers
- individual classifiers
- classification systems
- ensemble learning
- generalization ability
- ensemble methods
- pattern classification
- machine learning methods
- classification method