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dc.contributor.authorLuthra, Manisha
dc.contributor.authorKipf, Andreas
dc.contributor.authorBöhm, Matthias
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T14:00:01Z
dc.date.available2023-02-23T14:00:01Z
dc.date.issued2023
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/40350
dc.description.abstractThis is a proposal for the Learned Systems workshop planned for March 7th, 2023 inconjunction with the BTW2023 conference in Dresden. This tutorial-like workshop will bring togetherrenowned researchers and practitioners at the intersection of machine learning and (database) systems.There will be invited/nominated talks on two topics of concern: (1) how machine learning can improve(database) systems and (2) how scalable and efficient system design can improve machine learningpipelines. A strategic goal of this workshop is to encourage discussion between all the participants—speakers of original authors of the already peer-reviewed work and BTW participants—and thus,foster collaborations among the participants. We aim to give priority to early career researchers inour selection process to boost their work and gain visibility in the most important database systemsconference in Germany.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.titleA Tutorial Workshop on ML for Systems and Systems for MLen
dc.typeText/Conference Paper
dc.identifier.doi10.18420/BTW2023-43
gi.conference.locationDresden, Germany
gi.conference.date06.-10. März 2023
gi.citation.startPage707
gi.citation.endPage708
gi.citation.publisherPlaceBonn


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