Learning kernel logistic regression in the presence of class label noise
The classical machinery of supervised learning machines relies on a correct set of training labels. Unfortunately, there is no guarantee that all of the labels are correct. Labelling errors are increasingly noticeable in today's classification tasks, as the scale and difficulty of these tasks i...
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| Main Authors: | , |
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| 格式: | 雜誌 |
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2018
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904348097&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53422 |
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| 機構: | Chiang Mai University |