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dc.contributor.authorAckerman, Nathanael
dc.contributor.authorAsilis, Julian
dc.contributor.authorDi, Jieqi
dc.contributor.authorFreer, Cameron
dc.contributor.authorTristan, Jean-Baptiste
dc.date.accessioned2022-11-15T13:42:03Z
dc.date.available2022-11-15T13:42:03Z
dc.date.issued2022-08-02
dc.identifier.isbn978-1-4503-9351-5
dc.identifier.urihttps://hdl.handle.net/1721.1/146425
dc.publisherACM|37th Annual ACM/IEEE Symposium on Logic in Computer Scienceen_US
dc.relation.isversionofhttps://doi.org/10.1145/3531130.3533330en_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|37th Annual ACM/IEEE Symposium on Logic in Computer Scienceen_US
dc.titleComputable PAC Learning of Continuous Featuresen_US
dc.typeArticleen_US
dc.identifier.citationAckerman, Nathanael, Asilis, Julian, Di, Jieqi, Freer, Cameron and Tristan, Jean-Baptiste. 2022. "Computable PAC Learning of Continuous Features."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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.updated2022-11-03T12:11:24Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T12:11:24Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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