Machine learningMachine learning
在线单类支持向量机
在线单类支持向量机是经典单类支持向量机的一种增量式扩展，它会随着新数据的逐个到来而更新其决策边界，使其适用于流式环境和实时异常或新颖性检测，而无需从头开始重新训练。
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来源
- Laskov, P., Gehl, C., Krueger, S., & Muller, K.-R. (2006). Incremental support vector learning: Analysis, implementation and applications. Journal of Machine Learning Research, 7, 1909–1936. link ↗
- Scholkopf, B., Williamson, R., Smola, A., Shawe-Taylor, J., & Platt, J. (1999). Support vector method for novelty detection. Advances in Neural Information Processing Systems (NIPS), 12, 582–588. link ↗
如何引用本页
ScholarGate. (2026, June 3). Online One-Class Support Vector Machine. ScholarGate. https://scholargate.app/zh/machine-learning/online-one-class-svm
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