Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping.
Michael KölleAlessandro GiovagnoliJonas SteinMaximilian Balthasar ManskyJulian HagerClaudia Linnhoff-PopienPublished in: CoRR (2022)
Keyphrases
- weight update
- decision trees
- training data
- support vector
- feature weights
- feature selection
- neural network
- linear classifiers
- naive bayes
- test set
- convergence rate
- training samples
- classifier combination
- machine learning algorithms
- training examples
- classification algorithm
- convergence speed
- classification rate
- evolutionary algorithm
- multiple classifiers
- training set
- quantum computing
- image segmentation
- proximal point algorithm