Machine Learning for Networking Third International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers

• Main Authors: Renault, Éric, Boumerdassi, Selma, Mühlethaler, Paul
• Format: eBook
• Language: English
• Published: Netherlands Springer Nature 2021; Springer International Publishing AG; Springer International Publishing
• Edition: 1
• Series: Lecture notes in computer science
• Subjects: Computer networks; Data processing Computer science; Machine learning; Machine learning-Congresses
• ISBN: 3030708667; 9783030708665; 9783030708658; 3030708659

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.