Machine learningMachine learning
集成迁移学习
集成迁移学习结合了多个在大型源域上预训练然后针对目标任务进行微调的模型。通过聚合多个独立微调模型的预测，它能实现比任何单一迁移模型更高的准确性和鲁棒性，尤其是在目标数据集较小的情况下。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Ganaie, M. A., Hu, M., Malik, A. K., Tanveer, M., & Suganthan, P. N. (2022). Ensemble deep learning: A review. Engineering Applications of Artificial Intelligence, 115, 105151. DOI: 10.1016/j.engappai.2022.105151 ↗
- Transfer learning. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Ensemble Transfer Learning (Aggregation of Multiple Pre-trained Models). ScholarGate. https://scholargate.app/zh/machine-learning/ensemble-transfer-learning
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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