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Titlebook: Intelligent Distributed Computing VIII; David Camacho,Lars Braubach,Costin Badica Conference proceedings 2015 Springer International Publi

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書目名稱Intelligent Distributed Computing VIII
編輯David Camacho,Lars Braubach,Costin Badica
視頻videohttp://file.papertrans.cn/470/469643/469643.mp4
概述Recent research on Intelligent Distributed Computing.Scientific results of the 8th International Symposium on Intelligent Distributed Computing - IDC 2014, held September 3-5, 2014 in Madrid, Spain.Ca
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Intelligent Distributed Computing VIII;  David Camacho,Lars Braubach,Costin Badica Conference proceedings 2015 Springer International Publi
描述This book represents the combined peer-reviewed proceedings of the Eight International Symposium on Intelligent Distributed Computing - IDC‘2014, of the Workshop on Cyber Security and Resilience of Large-Scale Systems - WSRL-2014, and of the Sixth International Workshop on Multi-Agent Systems Technology and Semantics- MASTS-2014. All the events were held in Madrid, Spain, during September 3-5, 2014. The 47 contributions published in this book address several topics related to theory and applications of the intelligent distributed computing and multi-agent systems, including: agent-based data processing, ambient intelligence, collaborative systems, cryptography and security, distributed algorithms, grid and cloud computing, information extraction, knowledge management, big data and ontologies, social networks, swarm intelligence or videogames amongst others.
出版日期Conference proceedings 2015
關(guān)鍵詞Computational Intelligence; Distributed Computing; High-Performance Architectures; IDC; Intelligent Comp
版次1
doihttps://doi.org/10.1007/978-3-319-10422-5
isbn_softcover978-3-319-38324-8
isbn_ebook978-3-319-10422-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Statistical Inference for Intelligent Lighting: A Pilot Studyunderstanding of the relations among its variables. Data analysis using machine learning allows discovery of knowledge for predictive purposes. In this paper, we analyze a dataset collected on a pilot intelligent lighting application (the . dataset) using a supervised machine learning based approach
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