Exploring the feasibility and utility of machine learning-assisted command and control

Media type: E-Book
Title: Exploring the feasibility and utility of machine learning-assisted command and control / Matthew Walsh, Lance Menthe, Edward Geist, Eric Hastings, Joshua Kerrigan, Jasmin Léveillé, Joshua Margolis, Nicholas Martin, Brian P. Donnelly ; RAND Corporation
Volume 2, Supporting technical analysis
Contributor: Walsh, Matthew [Author]; Geist, Edward [Author]; Hastings, Eric [Author]; Kerrigan, Joshua [Author]; Léveillé, Jasmin [Author]; Margolis, Joshua [Author]; Martin, Nicholas [Author]; Donnelly, Brian P. [Author]
Corporation: Rand Corporation
Published: Santa Monica, Calif.: RAND Corporation, 2021
Published in: Exploring the feasibility and utility of machine learning-assisted command and control / Matthew Walsh, Lance Menthe, Edward Geist, Eric Hastings, Joshua Kerrigan, Jasmin Léveillé, Joshua Margolis, Nicholas Martin, Brian P. Donnelly ; RAND Corporation ; 2
Extent: 1 Online-Ressource (xiv, 98 Seiten); Illustrationen
Language: English
DOI: 10.7249/RR-A263-2
ISBN: 9781977407108; 1977407102
Identifier:

Exploring the feasibility and utility of machine learning-assisted command and control / Volume 2, Supporting technical analysis