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Division on Engineering and Physical Sciences & Intelligence Community Studies Board
Challenges in Machine Generation of Analytic Products from Multi-Source Data [PDF ebook]
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Couverture du Division on Engineering and Physical Sciences & Intelligence Community Studies Board: Challenges in Machine Generation of Analytic Products from Multi-Source Data (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.

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Langue Anglais ● Format PDF ● Pages 70 ● ISBN 9780309465748 ● Éditeur Linda Casola ● Maison d’édition National Academies Press ● Publié 2017 ● Téléchargeable 3 fois ● Devise EUR ● ID 7150007 ● Protection contre la copie Adobe DRM

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