Enhancing machine learning based QoE prediction by ensemble models

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Metadaten
Author:Pedro Casas, Michael SeufertORCiDGND, Nikolas Wehner, Anika Schwind, Florian Wamser
URN:urn:nbn:de:bvb:384-opus4-1073832
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/107383
ISBN:978-1-5386-6872-6OPAC
Parent Title (English):IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2-6 July 2018, Vienna, Austria
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Peter Pietzuch
Type:Conference Proceeding
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2023/10/11
First Page:1642
Last Page:1647
DOI:https://doi.org/10.1109/icdcs.2018.00186
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für vernetzte eingebettete Systeme und Kommunikationssysteme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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