Challenges in Machine Generation of Analytic Products from Multi-Source Data: Proceedings of a Workshop (Paperback)National Academies of Sciences, Engineering, and Medicine (author), Division on Engineering and Physical Sciences (author), Intelligence Community Studies Board (author), Linda Casola (editor)
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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.
Publisher: National Academies Press
Number of pages: 70
Dimensions: 279 x 216 mm
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