Machine learningEnsemble
Borda计数聚合
Borda计数是一种偏好聚合方法，它通过根据排名位置分配点数来组合来自多个分类器的排序预测。每个分类器对可能的输出进行排名，每个类别获得与其排名位置成反比的点数。总分最高的类别被选中。该方法最初由法国数学家Jean-Charles de Borda于1781年提出，现已被改编用于集成学习，以聚合软预测和排序输出。
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来源
- Borda, J. C. de (1781). Mémoire sur les élections au scrutin. Histoire de l'Académie Royale des Sciences. link ↗
- Dwork, C., Kumar, R., Naor, M., & Sivakumar, D. (2001). Rank aggregation methods for the web. Proceedings of the 10th International Conference on World Wide Web, 613-622. DOI: 10.1145/371920.372165 ↗
如何引用本页
ScholarGate. (2026, June 3). Borda Count Ensemble Aggregation. ScholarGate. https://scholargate.app/zh/ensemble-learning/borda-count-aggregation
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