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Bootkrajang et al., 2013 - Google Patents

Learning a label-noise robust logistic regression: Analysis and experiments

Bootkrajang et al., 2013

Document ID
12878384169424634290
Author
Bootkrajang J
Kabán A
Publication year
Publication venue
International Conference on Intelligent Data Engineering and Automated Learning

External Links

Snippet

Label-noise robust logistic regression (rLR) is an extension of logistic regression that includes a model of random mislabelling. This paper attempts a theoretical analysis of rLR. By decomposing and interpreting the gradient of the likelihood objective of rLR as employed …
Continue reading at link.springer.com (other versions)

Classifications

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