| 書目名稱 | Machine Learning for Networking | | 副標(biāo)題 | Third International | | 編輯 | éric Renault,Selma Boumerdassi,Paul Mühlethaler | | 視頻video | http://file.papertrans.cn/621/620642/620642.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Conference proceedings 2021 | | 關(guān)鍵詞 | machine learning approaches; machine learning algorithms; artificial intelligence; pattern recognition; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-70866-5 | | isbn_softcover | 978-3-030-70865-8 | | isbn_ebook | 978-3-030-70866-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2021 |
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