Enhancing cross entropy with a linearly adaptive loss function for optimized classification performance
Abstract We propose the linearly adaptive cross entropy loss function. This is a novel measure derived from the information theory. In comparison to the standard cross entropy loss function, the proposed one has an additional term that depends on the predicted probability of the true class. This fea...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-78858-6 |
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