Challenges in Machine Generation of Analytic Products from Multi-Source Data Proceedings of a Workshop
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National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Scie
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Linda Casola
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Challenges in Machine Generation of Analytic Products from Multi-Source Data Proceedings of a Workshop
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National Academies Press
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9780309465748
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1
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CHF 7.00
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Grundlagen
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English
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70
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DRM
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PC/MAC/eReader/Tablet
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PDF
The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop on August 9-10, 2017 to examine challenges in machine generation of analytic products from multi-source data. Workshop speakers and participants discussed research challenges related to machine-based methods for generating analytic products and for automating the evaluation of these products, with special attention to learning from small data, using multi-source data, adversarial learning, and understanding the human-machine relationship. This publication summarizes the presentations and discussions from the workshop.
