Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis.
Cristina CornelioMichele DoniniAndrea LoreggiaMaria Silvia PiniFrancesca RossiPublished in: AAMAS (2022)
Keyphrases
- theoretical and experimental analysis
- multiple classifier systems
- majority voting
- weighted voting
- randomized trees
- training data
- decision trees
- support vector
- classification systems
- training samples
- training set
- classifier combination
- test set
- subband
- ensemble learning
- classification models
- svm classifier
- class labels
- naive bayes
- machine learning methods
- image quality
- ensemble classifier
- classification accuracy
- machine learning algorithms
- individual classifiers
- training examples
- voting method
- pattern recognition
- data sets