From Sigmoid to SoftProb: A novel output activation function for multi-label learning
Multi-label classification is a crucial machine learning task that assigns multiple labels to a single instance, making it distinct from traditional single-label classification. The sigmoid activation function, commonly used in multi-label learning, suffers from saturation and vanishing gradient iss...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825007549 |
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