Machine learningRule learning
规则归纳（RIPPER）
规则归纳，特别是 RIPPER（Repeated Incremental Pruning to Produce Error Reduction）算法，是一种监督式机器学习方法，它从带标签的训练数据中学习一套紧凑的 IF-THEN 分类规则。RIPPER 由 William W. Cohen 于 1995 年提出，它采用“分而治之”（separate-and-conquer）策略，并结合最小描述长度（MDL）剪枝，生成既准确又易于理解的规则，使其成为归纳规则学习领域的里程碑式算法。
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来源
- Cohen, W. W. (1995). Fast effective rule induction. Proceedings of the 12th International Conference on Machine Learning, 115–123. DOI: 10.1016/B978-1-55860-377-6.50023-2 ↗
如何引用本页
ScholarGate. (2026, June 2). Rule Induction (RIPPER). ScholarGate. https://scholargate.app/zh/machine-learning/rule-induction
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