Towards instance-dependent label noise-tolerant classification: a probabilistic approach
© 2018, Springer-Verlag London Ltd., part of Springer Nature. Learning from labelled data is becoming more and more challenging due to inherent imperfection of training labels. Existing label noise-tolerant learning machines were primarily designed to tackle class-conditional noise which occurs at r...
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| Main Authors: | , |
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| 格式: | 雜誌 |
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2018
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| 主題: | |
| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053253900&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62668 |
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| 機構: | Chiang Mai University |