Machine learningMachine learning
主动学习单类支持向量机
主动学习单类支持向量机（Active Learning One-class SVM）结合了单类支持向量机——一种学习正常数据边界的基于核的方法的新颖性检测器——与主动学习循环，该循环选择信息量最大的未标记实例以供专家标注。其结果是一种数据效率高、通过最少的标注工作就能改进决策边界的异常检测器。
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来源
- Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (1999). Estimating the Support of a High-Dimensional Distribution. Neural Computation, 13(7), 1443–1471. DOI: 10.1162/089976601750264965 ↗
- Settles, B. (2009). 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 with One-Class Support Vector Machine. ScholarGate. https://scholargate.app/zh/machine-learning/active-learning-one-class-svm
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