A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance
Abstract Deep neural networks have been widely applied in various fields—such as image recognition, natural language processing, and robotics—achieving remarkable success. Ensemble learning is a well-established technique to improve the accuracy and generalization of neural networks by aggregating m...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01225-3 |
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