Adversarial Controls for Scientific Machine Learning-Reference-Cited by-同舟云学术

Adversarial Controls for Scientific Machine Learning

Published:2018-10-19 Issue:10 Volume:13 Page:2819-2821
ISSN:1554-8929
Container-title:ACS Chemical Biology
language:en
Short-container-title:ACS Chem. Biol.

Author:

Chuang Kangway V.¹^ORCID,Keiser Michael J.¹^ORCID

Affiliation:

1. Department of Pharmaceutical Chemistry, Department of Bioengineering and Therapeutic Sciences, Institute for Neurodegenerative Diseases and Bakar Institute for Computational Health Sciences, University of California—San Francisco, 675 Nelson Rising Lane, San Francisco, California 94158, United States

Funder

Paul G. Allen Family Foundation

Publisher

American Chemical Society (ACS)

Subject

Molecular Medicine,General Medicine,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acschembio.8b00881

Reference19 articles.

1. Machine learning: Trends, perspectives, and prospects

2. Anderson, C. End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired Magazine. https://www.wired.com/2008/06/pb-theory/ (accessed 05/11/2013).

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