| 書目名稱 | Machine Learning for Networking | | 副標題 | Second IFIP TC 6 Int | | 編輯 | Selma Boumerdassi,éric Renault,Paul Mühlethaler | | 視頻video | http://file.papertrans.cn/621/620644/620644.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, patternrecognition and classi cation for networks, machine learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new innovative machine learning methods, performanceanalysis of machine learning algorithms, experimental evaluations ofmachine learning, data mining in heterogeneous networks, distributed and decentralizedmachine 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 2020 | | 關鍵詞 | artificial intelligence; communication systems; computer crime; computer networks; computer security; com | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-45778-5 | | isbn_softcover | 978-3-030-45777-8 | | isbn_ebook | 978-3-030-45778-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | IFIP International Federation for Information Processing 2020 |
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