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.
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Sprache Englisch ● Format PDF ● Seiten 70 ● ISBN 9780309465748 ● Herausgeber Linda Casola ● Verlag National Academies Press ● Erscheinungsjahr 2017 ● herunterladbar 3 mal ● Währung EUR ● ID 7150007 ● Kopierschutz Adobe DRM
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