A bagging SVM to learn from positive and unlabeled examples

Fantine Mordelet; Jean-Philippe Vert

doi:10.1016/j.patrec.2013.06.010

Journal articles

A bagging SVM to learn from positive and unlabeled examples

Fantine Mordelet ¹ Jean-Philippe Vert ^{2, 3}

1 Duke University [Durham]

2 CBIO - Centre de Bioinformatique

3 Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe

Document type :

Journal articles

Domain :

Computer Science [cs] / Artificial Intelligence [cs.AI]

Mathematics [math] / Statistics [math.ST]

Life Sciences [q-bio] / Quantitative Methods [q-bio.QM]

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https://hal-mines-paristech.archives-ouvertes.fr/hal-01101852
Contributor : Jean-Philippe Vert Connect in order to contact the contributor
Submitted on : Friday, January 9, 2015 - 8:18:56 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:20 PM

A bagging SVM to learn from positive and unlabeled examples

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A bagging SVM to learn from positive and unlabeled examples

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