Machine learningMachine learning
主动学习支持向量机
主动学习支持向量机（Active Learning Support Vector Machine）将支持向量机（SVM）强大的决策边界能力与智能查询策略相结合，该策略能够选择信息量最大的未标记实例供人工标注。该方法由 Tong 和 Koller 于 2001 年提出，它能够使用远少于被动监督学习所需的标记样本来实现高分类精度，因此在标注成本高昂或耗时的情况下非常实用。
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来源
- Tong, S., & Koller, D. (2001). Support Vector Machine Active Learning with Applications to Text Classification. Journal of Machine Learning Research, 2, 45–66. link ↗
- Settles, B. (2010). Active Learning Literature Survey. Computer Sciences Technical Report 1648, University of Wisconsin–Madison. link ↗
如何引用本页
ScholarGate. (2026, June 3). Active Learning Support Vector Machine. ScholarGate. https://scholargate.app/zh/machine-learning/active-learning-support-vector-machine
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