Challenges in Machine Generation of Analytic Products from Multi-Source Data : Proceedings of a Workshop PDF
by Engineering, and Medicine National Academies of Sciences, Division on Engineering and Physical Sciences, Intelligence Community Studies Board
Edited by Linda Casola
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Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:70 pages
- Publisher:National Academies Press
- Publication Date:03/11/2017
- Category:
- ISBN:9780309465748
Information
-
Download - Immediately Available
- Format:PDF
- Pages:70 pages
- Publisher:National Academies Press
- Publication Date:03/11/2017
- Category:
- ISBN:9780309465748
