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Title: From Data to Decisions: Placing Machine Learning Challenges In Context.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1484938
Report Number(s):
SAND2017-13039C
659223
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Neural Information Processing Systems Workshop on Challenges in Machine Learning held December 9, 2017 in Long Beach, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Stracuzzi, David John, Chen, Maximillian Gene, Darling, Michael Christopher, and Peterson, Matthew Gregor. From Data to Decisions: Placing Machine Learning Challenges In Context.. United States: N. p., 2017. Web.
Stracuzzi, David John, Chen, Maximillian Gene, Darling, Michael Christopher, & Peterson, Matthew Gregor. From Data to Decisions: Placing Machine Learning Challenges In Context.. United States.
Stracuzzi, David John, Chen, Maximillian Gene, Darling, Michael Christopher, and Peterson, Matthew Gregor. Wed . "From Data to Decisions: Placing Machine Learning Challenges In Context.". United States. https://www.osti.gov/servlets/purl/1484938.
@article{osti_1484938,
title = {From Data to Decisions: Placing Machine Learning Challenges In Context.},
author = {Stracuzzi, David John and Chen, Maximillian Gene and Darling, Michael Christopher and Peterson, Matthew Gregor},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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