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DropConnect is effective in modeling uncertainty of Bayesian deep networks
Deep neural networks (DNNs) have achieved state-of-the-art performance in many important domains, including medical diagnosis, security, and autonomous driving. In domains where safety is highly critical, an erroneous decision can result in serious consequences. While a perfect prediction accuracy i...
Shranjeno v:
| izdano v: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7943811/ https://ncbi.nlm.nih.gov/pubmed/33750847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-84854-x |
| Oznake: |
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