On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products
Author:
Affiliation:
1. Department of Data Science, IBM Thomas J. Watson Research Center, Yorktown Heights, New York.
2. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia.
Publisher
Mary Ann Liebert Inc
Subject
Information Systems and Management,Computer Science Applications,Information Systems
Link
http://www.liebertpub.com/doi/pdf/10.1089/big.2016.0051
Reference44 articles.
1. Engineering safety in machine learning
2. Principles of engineering safety: Risk and uncertainty reduction
3. The Concepts of Risk and Safety
4. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
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