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| dc.contributor.author | Schölkopf, Bernhard | |
| dc.date.accessioned | 2020-03-09T07:17:25Z | |
| dc.date.available | 2020-03-09T07:17:25Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1573-0565 | |
| dc.identifier.uri | http://hdl.handle.net/10900/98764 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Springer | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1007/s10994-019-05791-5 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | Data scarcity, robustness and extreme multi-label classification | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20190926111821_00131 | |
| utue.publikation.seiten | 1329-1351 | de_DE |
| utue.personen.roh | Babbar, Rohit | |
| utue.personen.roh | Schoelkopf, Bernhard | |
| dcterms.isPartOf.ZSTitelID | Machine Learning | de_DE |
| dcterms.isPartOf.ZS-Issue | SI | de_DE |
| dcterms.isPartOf.ZS-Volume | 108 | de_DE |
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