Quantum Ensemble for Classification.
Antonio MacalusoLuca ClissaStefano LodiClaudio SartoriPublished in: CoRR (2020)
Keyphrases
- classification accuracy
- final classification
- image classification
- feature selection
- decision trees
- automatic classification
- training set
- decision tree classifiers
- benchmark datasets
- classification algorithm
- pattern classification
- random forests
- pattern recognition
- classification scheme
- training data
- multiple classifiers
- ensemble methods
- text classification
- supervised learning
- support vector
- concept drifting data streams
- cost sensitive
- data sets
- majority voting
- classifier ensemble
- classification process
- feature space
- support vector machine
- multi class
- support vector machine svm
- quantum inspired
- wrapper feature selection
- multiple classifier systems
- accurate classifiers
- quantum computing
- classification method
- class labels
- training samples
- unsupervised learning
- feature set
- knn
- preprocessing
- neural network