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Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process
In recent years, deep neural networks have shown significant progress in computer vision due to their large generalization capacity; however, the overfitting problem ubiquitously threatens the learning process of these highly nonlinear architectures. Dropout is a recent solution to mitigate overfitt...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7961777/ https://ncbi.nlm.nih.gov/pubmed/33800810 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051846 |
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