Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping.
Michael KölleAlessandro GiovagnoliJonas SteinMaximilian Balthasar ManskyJulian HagerClaudia Linnhoff-PopienPublished in: ICAART (2) (2023)
Keyphrases
- weight update
- feature selection
- training data
- decision trees
- training set
- machine learning algorithms
- class labels
- feature weights
- image segmentation
- classification models
- training samples
- test set
- naive bayes
- classification rate
- convergence rate
- classification method
- support vector
- svm classifier
- classifier combination
- quantum computing
- total weight
- iterative algorithms
- classifier ensemble
- decision boundary
- classification systems
- machine learning methods
- neural network
- feature vectors
- bayesian networks
- learning algorithm