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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Bibliographic Details
Main Authors: Jakramate Bootkrajang, Jeerayut Chaijaruwanich
Format: Journal
Published: 2018
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Online Access: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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Institution: Chiang Mai University
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