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Three main active learning scenarios


Membership query synthesis:

The learner may request labels for any unlabeled instance in the input space.


Uncertainty sampling:

An active learner queries the instances about which it is least certain how to label

Entropy 



单个分类器：

熵大小

多个分类器 Query - by - committee：

通过投票决定instance ｔｈey most disagree

minimizing the version space

1. be able to construct a committee of models that represent different regions of the version space

2.have some measure of disagreement among committee members

vote entropy/average Kullback- Lwiblwe(KL) divergence


３．３ expected model change

增加那些知道ｌａｂｅｌ后

本文标签： LearningActiveSurveyLiterature

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