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Machine Learning for Networking: first international conference, MLN 2018, Paris, France, November 27-29, 2018, revised selected papers

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-02445117
Contributor : Selma Boumerdassi <>
Submitted on : Monday, January 20, 2020 - 12:30:53 AM
Last modification on : Monday, August 24, 2020 - 4:16:13 PM

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Eric Renault, Paul Muhlethaler, Selma Boumerdassi. Machine Learning for Networking: first international conference, MLN 2018, Paris, France, November 27-29, 2018, revised selected papers. MLN 2018: 1st international conference on Machine Learning for Networking, Nov 2018, Paris, France. 11407, Springer, 388 p., 2019, Lecture Notes in Computer Science (LNCS), 978-3-030-19944-9. ⟨10.1007/978-3-030-19945-6⟩. ⟨hal-02445117⟩

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