{"title":"Message from the MLSys 2019 Workshop Chairs","authors":"Xuefeng Chen","doi":"10.1109/iucc/dsci/smartcns.2019.00019","DOIUrl":null,"url":null,"abstract":"The MLSys 2019 workshop promotes the in-depth exploration of the most recent theory and applications, as well as future machine learning research of/for smart system fields. This workshop provides a forum to discuss the series of machine learning relevant issues, including machine learning based system model, machine learning based planning and designing on railway system, machine learning assisted analysis and construction on railway system, machine learning based analysis and application on IoT system, machine learning based control and energy management of electrified vehicles, machine learning based vehicular sensors and intelligent transportation systems, deep reinforcement learning enabled radio resource management in satellite communications, machine learning based system model, transfer learning enabled wireless communications, smart spectrum sensing and sharing powered by machine learning, machine learning based analysis and application on smart grid, machine learning for LTE/5G mobile system, etc.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iucc/dsci/smartcns.2019.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The MLSys 2019 workshop promotes the in-depth exploration of the most recent theory and applications, as well as future machine learning research of/for smart system fields. This workshop provides a forum to discuss the series of machine learning relevant issues, including machine learning based system model, machine learning based planning and designing on railway system, machine learning assisted analysis and construction on railway system, machine learning based analysis and application on IoT system, machine learning based control and energy management of electrified vehicles, machine learning based vehicular sensors and intelligent transportation systems, deep reinforcement learning enabled radio resource management in satellite communications, machine learning based system model, transfer learning enabled wireless communications, smart spectrum sensing and sharing powered by machine learning, machine learning based analysis and application on smart grid, machine learning for LTE/5G mobile system, etc.
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2019年MLSys研讨会主席致辞
MLSys 2019研讨会促进了对最新理论和应用的深入探索,以及智能系统领域的未来机器学习研究。本次研讨会提供了一个讨论一系列机器学习相关问题的论坛,包括基于机器学习的系统模型、基于机器学习的铁路系统规划与设计、基于机器学习的铁路系统分析与建设、基于机器学习的物联网系统分析与应用、基于机器学习的电动汽车控制与能源管理、基于机器学习的车载传感器与智能交通系统。基于深度强化学习的卫星通信无线电资源管理、基于机器学习的系统模型、基于迁移学习的无线通信、基于机器学习的智能频谱感知与共享、基于机器学习的智能电网分析与应用、LTE/5G移动系统的机器学习等。
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