{"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.