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Title: A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning.

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:
1511904
Report Number(s):
SAND2018-4845C
662801
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the New Challenges in Scheduling Theory held April 3-7, 2018 in Aussois, France.
Country of Publication:
United States
Language:
English

Citation Formats

Parekh, Ojas D., Phillips, Cynthia A., Powers, Vladlena, Sakr, Nourhan, and Stein, Cliff. A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning.. United States: N. p., 2018. Web.
Parekh, Ojas D., Phillips, Cynthia A., Powers, Vladlena, Sakr, Nourhan, & Stein, Cliff. A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning.. United States.
Parekh, Ojas D., Phillips, Cynthia A., Powers, Vladlena, Sakr, Nourhan, and Stein, Cliff. Tue . "A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning.". United States. https://www.osti.gov/servlets/purl/1511904.
@article{osti_1511904,
title = {A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning.},
author = {Parekh, Ojas D. and Phillips, Cynthia A. and Powers, Vladlena and Sakr, Nourhan and Stein, Cliff},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

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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