Machine Learning for Networking, 1st ed. 2019 First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers Information Systems and Applications, incl. Internet/Web, and HCI Series
Coordonnateurs : Renault Éric, Mühlethaler Paul, Boumerdassi Selma
This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018.
The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: 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, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.Date de parution : 05-2019
Ouvrage de 388 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 84,39 €
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Mots-clés :
ad hoc networks; artificial intelligence; bandwidth; computer networks; data security; Human-Computer Interaction (HCI); internet; learning algorithms; machine learning; mobile telecommunication systems; neural networks; routers; sensor networks; sensors; telecommunication networks; telecommunication traffic; user interfaces; wireless networks; wireless sensor networks; wireless telecommunication systems