Quantum computer based feature selection in machine learning
Abstract The problem of selecting an appropriate number of features in supervised learning problems is investigated. Starting with common methods in machine learning, the feature selection task is treated as a quadratic unconstrained optimisation problem (QUBO), which can be tackled with classical n...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wiley
2024-09-01
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| Reeks: | IET Quantum Communication |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1049/qtc2.12086 |
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