Artificial Neural Networks in Public Policy: Towards an Analytical Framework
dc.contributor.author | Lee, Joshua | |
dc.date.accessioned | 2020-04-27T20:40:09Z | |
dc.date.available | 2020-04-27T20:40:09Z | |
dc.date.issued | 2020-04 | |
dc.description.abstract | Interviews created during the course of research for the dissertation "Artificial Neural Networks in Public Policy: Towards an Analytical Framework." | |
dc.description.embargo | 2100-01-01 | |
dc.identifier.uri | https://hdl.handle.net/1920/11699 | |
dc.language.iso | en_US | |
dc.relation.ispartofseries | GMU School of Public Policy Working Papers; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
dc.subject | Neural network | |
dc.subject | Deep learning | |
dc.subject | Machine learning | |
dc.title | Artificial Neural Networks in Public Policy: Towards an Analytical Framework | |
dc.title.alternative | Artificial Neural Networks in Public Policy (Interview Audio Recordings) | |
dc.type | Sound |
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