Challenges in machine generation of analytic products from multi-source data : proceedings of a workshop /

"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 chal...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Casola, Linda Clare, 1982- (rapporteur.)
Corporate Author: Challenges in Machine Generation of Analytic Products from Multi-source Data (Workshop)
Format: Electronic Conference Proceeding eBook
Language:Inglés
Published: Washington, D.C. : The National Academies Press, [2017]
Subjects:
Mathematical statistics > Data processing > Congresses.
Machine learning > Congresses.
Instructional systems > Design > Congresses.
Statistique mathématique > Informatique > Congrès.
Apprentissage automatique > Congrès.
Design pédagogique > Congrès.
Instructional systems > Design
Machine learning
Mathematical statistics > Data processing
Conference papers and proceedings
Online Access:Texto completo
Table of 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.

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