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.
The National Academies Press and the Transportation Research Board have partnered with Copyright Clearance Center to offer a variety of options for reusing our content. You may request permission to:
For most Academic and Educational uses no royalties will be charged although you are required to obtain a license and comply with the license terms and conditions.
For information on how to request permission to translate our work and for any other rights related query please click here.
For questions about using the Copyright.com service, please contact:
Copyright Clearance Center
22 Rosewood Drive
Danvers, MA 01923
Tel (toll free): 855/239-3415 (select option 1)
E-mail: info@copyright.com
Web: https://www.copyright.com
Loading stats for Challenges in Machine Generation of Analytic Products from Multi-Source Data: Proceedings of a Workshop...