A Quantum-Inspired Direct Learning Strategy for Positive and Unlabeled Data
Abstract Learning from only positive and unlabeled (PU) data has broad applications in fields such as web data mining, product recommendations and medical diagnosis, which aims to train a binary classifier in the absence of negative labeled data. However, due to the lack of negative label informatio...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer
2023-12-01
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| Serija: | International Journal of Computational Intelligence Systems |
| Teme: | |
| Online dostop: | https://doi.org/10.1007/s44196-023-00373-9 |
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