A generalised label noise model for classification in the presence of annotation errors
© 2016 Elsevier B.V. Supervised learning from annotated data is becoming more challenging due to inherent imperfection of training labels. Previous studies of learning in the presence of label noise have been focused on label noise which occurs randomly, while the study of label noise that is influe...
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| Format: | Journal |
| Published: |
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959469626&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41806 |
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| Institution: | Chiang Mai University |
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