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Active Learning from Oracle with Knowledge Blind Spot

机译:通过知识盲点向Oracle主动学习

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摘要

Active learning traditionally assumes that an oracle is capable of providing labeling information for each query instance. This paper formulates a new research problem which allows an oracle admit that he/she is incapable of labeling some query instances or simply answer "I don't know the label'". We define a unified objective function to ensure that each query instance submitted to the oracle is the one mostly needed for labeling and the oracle should also has the knowledge to label. Experiments based on different types of knowledge blind spot (KBS) models demonstrate the effectiveness of the proposed design.
机译:传统上,主动学习假定oracle能够为每个查询实例提供标签信息。本文提出了一个新的研究问题,使甲骨文承认他/她无能力标记某些查询实例或仅回答“我不知道标签”。我们定义了一个统一的目标函数,以确保提交给oracle的每个查询实例都是最需要标记的查询实例,并且oracle也应该具有标记的知识。基于不同类型的知识盲点(KBS)模型的实验证明了所提出设计的有效性。

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