Machine learningMachine learning
在线学习
在线学习是一种机器学习范式，其中模型在收到每个新数据点后进行增量更新，而不是在固定的数据集上进行一次性训练。当数据流持续不断、存储空间有限或底层分布随时间变化时，在线学习至关重要。理论性能通过与事后最佳固定预测器相比的累积遗憾来衡量。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Shalev-Shwartz, S. (2011). Online Learning and Online Convex Optimization. Foundations and Trends in Machine Learning, 4(2), 107–194. DOI: 10.1561/2200000018 ↗
- Cesa-Bianchi, N. & Lugosi, G. (2006). Prediction, Learning, and Games. Cambridge University Press. ISBN: 978-0-521-84108-5
如何引用本页
ScholarGate. (2026, June 3). Online Learning (Sequential / Incremental Machine Learning). ScholarGate. https://scholargate.app/zh/machine-learning/online-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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