An efficient quantum algorithm for ensemble classification using bagging
Abstract Ensemble methods aggregate predictions from multiple models, typically demonstrating improved accuracy and reduced variance compared to individual classifiers. However, they often come with significant memory usage and computational time requirements. A novel quantum algorithm that leverage...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
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| Series: | IET Quantum Communication |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/qtc2.12087 |