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]

Complete list of metadatas

https://hal-mines-paristech.archives-ouvertes.fr/hal-01101852
Contributor : Jean-Philippe Vert <>
Submitted on : Friday, January 9, 2015 - 8:18:56 PM
Last modification on : Tuesday, November 17, 2020 - 10:42:04 AM

A bagging SVM to learn from positive and unlabeled examples

Links full text

Identifiers

Collections

Citation

Export

Metrics

742

A bagging SVM to learn from positive and unlabeled examples

Links full text

Identifiers

Collections

Citation

Export

Share

Metrics

742