Machine Learning for Networking / Lecture Notes in Computer Science Bd.12629 (PDF)
Third International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed...
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This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
Bibliographische Angaben
- 2021, 1st ed. 2021, 375 Seiten, Englisch
- Herausgegeben: Éric Renault, Selma Boumerdassi, Paul Mühlethaler
- Verlag: Springer International Publishing
- ISBN-10: 3030708667
- ISBN-13: 9783030708665
- Erscheinungsdatum: 02.03.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 47 MB
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Sprache:
Englisch
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