Open-set pattern recognition and its application in information extraction from text

In traditional supervised learning, the training set contains the same classes that appear in the testing set. However, the classifier may encounter previously unseen classes in the actual world, which is likely to create errors if a close-set classifier divides these data into the original category...

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書目詳細資料
主要作者: Ke, Yizhen
其他作者: Mao Kezhi
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/164148
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