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Learning and predicting the unknown class using evidential deep learning
In practical deep-learning applications, such as medical image analysis, autonomous driving, and traffic simulation, the uncertainty of a classification model’s output is critical. Evidential deep learning (EDL) can output this uncertainty for the prediction; however, its accuracy depends on a user-...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492799/ https://www.ncbi.nlm.nih.gov/pubmed/37689788 http://dx.doi.org/10.1038/s41598-023-40649-w |