Machine learningMachine learning
鲁棒朴素贝叶斯
鲁棒朴素贝叶斯通过用区间或分布集替换点概率估计，来扩展标准的朴素贝叶斯分类器以处理类条件概率估计中的不确定性或噪声。Zaffalon (2002) 提出的典型形式——朴素信念分类器 (Naive Credal Classifier)——使用不精确概率集，使得只有当集合中的所有分布都同意时才做出预测，在证据不足时则不分配标签。
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来源
- Zaffalon, M. (2002). The Naive Credal Classifier. Journal of Statistical Planning and Inference, 105(1), 5–21. DOI: 10.1016/S0378-3758(01)00201-4 ↗
- Naive Bayes classifier. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Naive Bayes Classifier. ScholarGate. https://scholargate.app/zh/machine-learning/robust-naive-bayes
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