JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Maghsudi, Setareh | |
| dc.date.accessioned | 2023-07-13T06:25:44Z | |
| dc.date.available | 2023-07-13T06:25:44Z | |
| dc.date.issued | 2022-12-07 | |
| dc.identifier.uri | http://hdl.handle.net/10900/143349 | |
| dc.language.iso | en | de_DE |
| dc.publisher | IEEE | de_DE |
| dc.relation.uri | https://doi.org/10.1109/ITW54588.2022.9965865 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | A Learning-Based Approach to Approximate Coded Computation | de_DE |
| dc.type | Article | de_DE |
| utue.publikation.seiten | 600-605 | de_DE |
| utue.personen.roh | Maghsudi, Setareh | |
| utue.personen.roh | Agrawal, Navneet | |
| utue.personen.roh | Qiu, Yuqin | |
| utue.personen.roh | Frey, Matthias | |
| utue.personen.roh | Bjelakovic, Igor | |
| utue.personen.roh | Stanczak, Slawomir | |
| utue.personen.roh | Zhu, Jingge | |
| dcterms.isPartOf.ZSTitelID | 2022 IEEE Information Theory Workshop (ITW) | de_DE |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||