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PAC learning with generalized samples and an application to stochastic geometry

dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.
dc.contributorKulkarni, Sanjeev R.
dc.date.accessioned2002-06-21T03:39:48Z
dc.date.available2002-06-21T03:39:48Z
dc.date.issued1991
dc.identifier.urihttp://hdl.handle.net/1721.1/1231
dc.descriptionIncludes bibliographical references (p. 16-17).en
dc.descriptionCaption title.en
dc.description.sponsorshipResearch supported by the National Science Foundation. ECS-8552419 Research supported by the U.S. Army Research Office. DAAL01-86-K-0171 Research supported by the Dept. of the Navy under an Air Force Contract. F19628-90-C-0002en
dc.description.statementofresponsibilityS.R. Kulkarni ... [et al.].
dc.format.extent17 p.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems
dc.relation.ispartofseriesLIDS-P ; 2044
dc.subject.lccTK7855.M41 E3845 no.2044
dc.titlePAC learning with generalized samples and an application to stochastic geometryen


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