A kernel-based quantum random forest for improved classification.
Maiyuren SrikumarCharles D. HillLloyd C. L. HollenbergPublished in: CoRR (2022)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- random forests
- cancer classification
- feature extraction
- support vector
- support vector machine
- decision tree learning algorithms
- classification accuracy
- feature importance
- feature vectors
- feature selection
- classification models
- class labels
- classification algorithm
- learning algorithm
- base classifiers
- ensemble methods
- multi label
- support vector machine svm
- text classification
- image classification
- feature space
- naive bayes
- ensemble learning
- ensemble classifier
- supervised learning
- feature ranking
- active learning
- data sets