| 書目名稱 | Machine Learning for Networking | | 副標(biāo)題 | First International | | 編輯 | éric Renault,Paul Mühlethaler,Selma Boumerdassi | | 視頻video | http://file.papertrans.cn/621/620645/620645.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 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.. | | 出版日期 | Conference proceedings 2019 | | 關(guān)鍵詞 | ad hoc networks; artificial intelligence; bandwidth; computer networks; data security; Human-Computer Int | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-19945-6 | | isbn_softcover | 978-3-030-19944-9 | | isbn_ebook | 978-3-030-19945-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2019 |
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