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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Bibliographic Details
Main Author: Ke, Yizhen
Other Authors: Mao Kezhi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/164148
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Institution: Nanyang Technological University
Language: English

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