Voting with random classifiers (VORACE): theoretical and experimental analysis.
Cristina CornelioMichele DoniniAndrea LoreggiaMaria Silvia PiniFrancesca RossiPublished in: Auton. Agents Multi Agent Syst. (2021)
Keyphrases
- theoretical and experimental analysis
- multiple classifier systems
- majority voting
- weighted voting
- randomized trees
- training data
- machine learning algorithms
- feature set
- naive bayes
- decision trees
- classification systems
- svm classifier
- feature selection
- training set
- image processing
- test set
- training samples
- individual classifiers
- roc curve
- support vector
- random forests
- feature extraction
- fusion methods
- ensemble classifier
- classification accuracy
- subband
- neural network
- training examples
- multi class