{
"item_title" : "Challenges in Machine Generation of Analytic Products from Multi-Source Data",
"item_author" : [" National Academies of Sciences Engineeri", "Division on Engineering and Physical Sci", "Intelligence Community Studies Board "],
"item_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.",
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Challenges in Machine Generation of Analytic Products from Multi-Source Data : Proceedings of a Workshop
Overview
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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Details
- ISBN-13: 9780309465731
- ISBN-10: 0309465737
- Publisher: National Academies Press
- Publish Date: December 2017
- Dimensions: 10.8 x 8.36 x 0.25 inches
- Shipping Weight: 0.57 pounds
- Page Count: 70
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