Artificial Neural Networks in Public Policy: Towards an Analytical Framework

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dc.contributor.authorLee, Joshua
dc.date.accessioned2020-04-27T20:40:09Z
dc.date.available2020-04-27T20:40:09Z
dc.date.issued2020-04
dc.description.abstractInterviews created during the course of research for the dissertation "Artificial Neural Networks in Public Policy: Towards an Analytical Framework."
dc.description.embargo2100-01-01
dc.identifier.urihttps://hdl.handle.net/1920/11699
dc.language.isoen_US
dc.relation.ispartofseriesGMU School of Public Policy Working Papers;
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectNeural network
dc.subjectDeep learning
dc.subjectMachine learning
dc.titleArtificial Neural Networks in Public Policy: Towards an Analytical Framework
dc.title.alternativeArtificial Neural Networks in Public Policy (Interview Audio Recordings)
dc.typeSound

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