| Description |
1 online resource (x, 59 pages) : color illustrations |
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text file |
| Contents |
Introduction -- Session 1 : plenary -- Session 2 : machine learning from image, video and map data -- Session 3 : Machine learning from natural languages -- Session 4 -- Learning from multi-source data -- Session 5 : learning from noisy, adversarial inputs -- Session 6 : learning from social media -- Session 7 : humans and machines working together with big data -- Session 8 : use of machine learning for privacy ethics -- Session 9 : Evaluation of machine-generated products -- Session 10 : capability technology matrix -- Appendixes. |
| Summary |
"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"--Publisher's description. |
| Bibliography |
Includes bibliographical references. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Mathematical statistics -- Data processing -- Congresses.
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Mathematical statistics -- Data processing. |
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Machine learning -- Congresses.
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Machine learning. |
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Instructional systems -- Design -- Congresses.
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Instructional systems -- Design. |
| Genre/Form |
Electronic books.
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Conference papers and proceedings.
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Conference papers and proceedings.
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| Added Author |
National Academies of Sciences, Engineering, and Medicine (U.S.). Intelligence Community Studies Board, issuing body.
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Challenges in Machine Generation of Analytic Products from Multi-source Data (Workshop) (2017 : Washington, D.C.), author.
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| Other Form: |
Print version: National Academies of Sciences, Engineering, and Medicine. Challenges in Machine Generation of Analytic Products from Multi-Source Data : Proceedings of a Workshop. Washington, D.C. : National Academies Press, ©2017 9780309465731 |
| ISBN |
9780309465748 |
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0309465745 |
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9780309465731 (paperback) |
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0309465737 (paperback) |
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9780309465762 (electronic book) |
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0309465761 (electronic book) |
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