Machine learningMachine learning
主动学习投票集成
主动学习投票集成——正式名称为“委员会查询”（Query by Committee）——是一种主动学习策略，它训练一个由不同模型组成的委员会，并选择委员会成员分歧最大的未标记样本进行人工标注。通过将标注精力集中在信息量最大的点上，它能以远少于被动学习所需的标注样本达到高精度。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Seung, H. S., Opper, M., & Sompolinsky, H. (1992). Query by committee. In Proceedings of the Fifth Annual Workshop on Computational Learning Theory (COLT '92), pp. 287–294. ACM. DOI: 10.1145/130385.130417 ↗
- 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 Voting Ensemble (Query by Committee). ScholarGate. https://scholargate.app/zh/machine-learning/active-learning-voting-ensemble
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 主动学习机器学习↔ compare
- Bagging（Bootstrap Aggregating）机器学习↔ compare
- Boosting机器学习↔ compare
- 半监督学习机器学习↔ compare
- 投票集成 (Voting Ensemble)机器学习↔ compare