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On the learnability of discrete distributions
284
Citations
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References
1994
Year
Unknown Venue
EngineeringDiscrete DistributionsAlgorithmic LearningProbabilistic ComputationUncertainty QuantificationStatisticsChicago UniversityInformation TheoryComputational Learning TheoryKnowledge DiscoveryLearning AnalyticsProbability TheoryComputer ScienceDiscrete Distributions AuthorsTheory Of ComputingImprecise ProbabilityAlert PreferencesMathematical FoundationsStatistical Inference
Article Free Access Share on On the learnability of discrete distributions Authors: Michael Kearns AT&T Bell Laboratories AT&T Bell LaboratoriesView Profile , Yishay Mansour Tel-Aviv University Tel-Aviv UniversityView Profile , Dana Ron Hebrew Univesity Hebrew UnivesityView Profile , Ronitt Rubinfeld Cornell University Cornell UniversityView Profile , Robert E. Schapire AT&T Bell Laboratories AT&T Bell LaboratoriesView Profile , Linda Sellie University of Chicago University of ChicagoView Profile Authors Info & Claims STOC '94: Proceedings of the twenty-sixth annual ACM symposium on Theory of ComputingMay 1994Pages 273–282https://doi.org/10.1145/195058.195155Published:23 May 1994Publication History 131citation1,169DownloadsMetricsTotal Citations131Total Downloads1,169Last 12 Months175Last 6 weeks21 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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