Exploring representativeness and informativeness for active learning

How can we find a general way to choose the most suitable samples for training a classifier? Even with very limited prior information? Active learning, which can be regarded as an iterative optimization procedure, plays a key role to construct a refined training set to improve the classification per...

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Main Authors: DU, Bo, WANG, Zengmao, ZHANG, Lefei, ZHANG, Liangpei, LIU, Wei, SHEN, Jialie, TAO, Dacheng
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2017
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/3531
https://ink.library.smu.edu.sg/context/sis_research/article/4532/viewcontent/ExploringRepresentativenessInformativenessActiveLearning_2017.pdf
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