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dc.contributor.authorKristo, Ani
dc.contributor.authorKraska, Tim
dc.contributor.authorCetintemel, Ugur
dc.contributor.authorVaidya, Kapil
dc.contributor.authorMisra, Sanchit
dc.date.accessioned2022-10-04T15:34:42Z
dc.date.available2022-10-04T15:34:42Z
dc.date.issued2020-06-11
dc.identifier.isbn978-1-4503-6735-6
dc.identifier.urihttps://hdl.handle.net/1721.1/145664
dc.publisherACM|Proceedings of the 2020 ACM SIGMOD International Conference on Management of Dataen_US
dc.relation.isversionofhttps://doi.org/10.1145/3318464.3389752en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 2020 ACM SIGMOD International Conference on Management of Dataen_US
dc.titleThe Case for a Learned Sorting Algorithmen_US
dc.typeArticleen_US
dc.identifier.citationKristo, Ani, Kraska, Tim, Cetintemel, Ugur, Vaidya, Kapil and Misra, Sanchit. 2020. "The Case for a Learned Sorting Algorithm."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-04T07:51:22Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-10-04T07:51:23Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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