Machine learningInteractive ML
主动学习
主动学习是一种迭代式机器学习范式，其中学习算法选择性地向一个“预言家”（通常是人类标注员）查询信息量最大的未标记样本的标签。该范式由 Burr Settles 在其 2009 年的开创性文献综述中正式提出，通过所需的标记样本数量远少于被动监督学习，从而实现高模型精度，解决了标注成本这一实际瓶颈。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Settles, B. (2009). Active learning literature survey. University of Wisconsin-Madison Computer Sciences Technical Report 1648. link ↗
如何引用本页
ScholarGate. (2026, June 2). Active Learning (Human-in-the-Loop). ScholarGate. https://scholargate.app/zh/machine-learning/active-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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