Title Challenges in machine generation of analytic products from multi-source data : proceedings of a workshop / Linda Casola, rapporteur ; Intelligence Community Studies Board, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine

Published Washington, D.C. : The National Academies Press, [2017] ©2017

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Description 1 online resource (x, 59 pages) : color illustrations 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 Notes Online resource; title from PDF title page (National Academies Press, viewed May 15, 2018) Subject Mathematical statistics -- Data processing -- Congresses Machine learning -- Congresses Instructional systems -- Design -- Congresses Instructional systems -- Design Machine learning Mathematical statistics -- Data processing Genre/Form Conference papers and proceedings Form Electronic book Author National Academies of Sciences, Engineering, and Medicine (U.S.). Intelligence Community Studies Board, issuing body. Challenges in Machine Generation of Analytic Products from Multi-source Data (Workshop) (2017 : Washington, D.C.) author ISBN 9780309465748 0309465745 9780309465731 0309465737 9780309465762 0309465761

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