Challenges in Machine Generation of Analytic Products from Multi-Source Data / Search Inside This Book
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3 Session 2: Machine Learning from Image, Video, and Map Data
(9-13)
4 Session 3: Machine Learning from Natural Languages
(14-19)
6 Session 5: Learning from Noisy, Adversarial Inputs
(23-25)
8 Session 7: Humans and Machines Working Together with Big Data
(28-30)
9 Session 8: Use of Machine Learning for Privacy Ethics
(31-33)
10 Session 9: Evaluation of Machine-Generated Products
(34-36)
Appendix A: Biographical Sketches of Workshop Planning Committee
(45-47)