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在线迁移学习

在线迁移学习(Online Transfer Learning, OTL)将迁移学习扩展到了序列化、流式处理的场景:模型不是在固定的数据集上训练,而是逐个处理样本,同时利用来自相关源域的知识来改进目标域上的预测,而无需预先准备大量带标签的目标数据集。

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来源

  1. Zhao, P., & Hoi, S. C. H. (2010). OTL: A Framework of Online Transfer Learning. In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 1231–1238. Omnipress. link
  2. Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359. DOI: 10.1109/TKDE.2009.191

如何引用本页

ScholarGate. (2026, June 3). Online Transfer Learning (Streaming Transfer Learning). ScholarGate. https://scholargate.app/zh/machine-learning/online-transfer-learning

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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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ScholarGateOnline Transfer learning (Online Transfer Learning (Streaming Transfer Learning)). 于 2026-06-15 检索自 https://scholargate.app/zh/machine-learning/online-transfer-learning · 数据集: https://doi.org/10.5281/zenodo.20539026