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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Bibliographic Details
Main Authors: Jakramate Bootkrajang, Ata Kabán
Format: Journal
Published: 2018
Subjects:
Online Access: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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Institution: Chiang Mai University
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