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Learning Deep Generative Models for Queuing Systems
Author(s) -
César Ojeda,
Kostadin Cvejoski,
Bodgan Georgiev,
Christian Bauckhage,
Jannis Schuecker,
Ramsés J. Sánchez
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i10.17112
Subject(s) - computer science , generative grammar , leverage (statistics) , scalability , queueing theory , generative model , software deployment , parametric statistics , formalism (music) , distributed computing , artificial intelligence , service (business) , server , machine learning , data science , computer network , software engineering , database , art , musical , statistics , mathematics , economy , economics , visual arts

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