Diversity with Cooperation: Ensemble Methods for Few-Shot Classification.
Nikita DvornikCordelia SchmidJulien MairalPublished in: CoRR (2019)
Keyphrases
- ensemble methods
- classifier ensemble
- machine learning methods
- decision trees
- benchmark datasets
- majority voting
- generalization ability
- bootstrap sampling
- ensemble classifier
- prediction accuracy
- ensemble feature selection
- individual classifiers
- random forests
- ensemble classification
- decision tree learning
- image classification
- text classification
- classification accuracy
- support vector
- data mining
- drifting concepts
- feature extraction
- base learners
- ensemble learning
- base classifiers
- classification algorithm
- pattern recognition
- feature space
- machine learning
- imbalanced data
- training samples
- support vector machine
- classification models
- cross validation
- ensemble members
- genetic programming
- supervised learning