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Titlebook: Human Centered Computing; 6th International Co Qiaohong Zu,Yong Tang,Vladimir Mladenović Conference proceedings 2021 Springer Nature Switze

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发表于 2025-3-21 16:32:51 | 显示全部楼层 |阅读模式
书目名称Human Centered Computing
副标题6th International Co
编辑Qiaohong Zu,Yong Tang,Vladimir Mladenović
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Human Centered Computing; 6th International Co Qiaohong Zu,Yong Tang,Vladimir Mladenović Conference proceedings 2021 Springer Nature Switze
描述This book constitutes thoroughly reviewed, revised and selected papers from the 6th International Conference on Human Centered Computing, HCC 2020, held in virtually, due to COVID- 19, in December 2020. The 28 full and 20 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions..The conference focuses on the following three main themes as follows: Data such as Data Visualization, Big Data, Data Security, Hyper connectivity such as Internet of Things, Cloud Computing, Mobile Network and Collaboration such as Collective Intelligence, Peer Production, Context Awareness and much more. .
出版日期Conference proceedings 2021
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer science; c
版次1
doihttps://doi.org/10.1007/978-3-030-70626-5
isbn_softcover978-3-030-70625-8
isbn_ebook978-3-030-70626-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Qiaohong Zu,Qinyi Liu,Jiangming Wuse Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses -- algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward...This book is primarily a reference collection of modern Bayesian methods in reliability for use by
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Songyuan Gu,Chen Wu,Yuanyuan Qinmponents may not qualify it as sparse. Moreover, the concept is complicated by the fact that sparsity is not a property of the unknown alone, but of its representation: . is a process of representing the unknown in a suitable basis or frame in terms of few nonzero coefficients. To elucidate the latt
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Yuyao Li,Jinhao Liang,Xiujuan Huanged forms of the sought functions, where the . is constructed such that the unknown system parameters are embedded within its support. The likelihood of the unknowns given the available data is defined in terms of such a .. We make an application of this methodology, to learn the density of all gravi
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Shuting Li,Miaorong Fan,Fugui Xing,Tingshao Zhued forms of the sought functions, where the . is constructed such that the unknown system parameters are embedded within its support. The likelihood of the unknowns given the available data is defined in terms of such a .. We make an application of this methodology, to learn the density of all gravi
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