Semi-supervised AUC optimization based on positive-unlabeled learning
Semi-supervised AUC optimization based on positive-unlabeled learning
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Maximizing the area under the receiver operating characteristic curve (AUC) is a standard approach to imbalanced classification. So far, various supervised AUC optimization methods have been developed and they are also extended to semi-supervised scenarios to cope with small sample problems. However, existing semi-supervised AUC optimization method...
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Full title
Semi-supervised AUC optimization based on positive-unlabeled learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_1984343019
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1984343019
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ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-017-5678-9
