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Titlebook: SmartShadow: Models and Methods for Pervasive Computing; Zhaohui Wu,Gang Pan Book 2013 Zhejiang University Press, Hangzhou and Springer-Ve

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发表于 2025-3-21 17:31:13 | 显示全部楼层 |阅读模式
书目名称SmartShadow: Models and Methods for Pervasive Computing
编辑Zhaohui Wu,Gang Pan
视频video
概述Brings a new perspective of pervasive computing.Presents the model, methods, and software infrastructure for SmartShadow.Introduces an application in smart car
丛书名称Advanced Topics in Science and Technology in China
图书封面Titlebook: SmartShadow: Models and Methods for Pervasive Computing;  Zhaohui Wu,Gang Pan Book 2013 Zhejiang University Press, Hangzhou and Springer-Ve
描述.SmartShadow: Models and Methods for Pervasive Computing. offers a new perspective on pervasive computing with SmartShadow, which is designed to model a user as a personality “shadow” and to model pervasive computing environments as user-centric dynamic virtual personal spaces. Just like human beings’ shadows in the physical world, it follows people wherever they go, providing them with pervasive services. The model, methods, and software infrastructure for SmartShadow are presented and an application for smart cars is also introduced. . .The book can serve as a valuable reference work for researchers and graduate students in the field of pervasive/ubiquitous computing..Zhaohui Wu. is a Professor at Zhejiang University, Hangzhou, China. .Gang Pan. is a Professor at the same institute..
出版日期Book 2013
关键词Pervasive computing; Smart car; SmartShadow; Software infrastructure; Task migration
版次1
doihttps://doi.org/10.1007/978-3-642-36382-5
isbn_softcover978-3-642-42964-4
isbn_ebook978-3-642-36382-5Series ISSN 1995-6819 Series E-ISSN 1995-6827
issn_series 1995-6819
copyrightZhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg 2013
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发表于 2025-3-21 22:27:39 | 显示全部楼层
Zhaohui Wu,Gang Pantestants can get a good ranking—feature engineering. Andrew Ng once mentioned in his CS229 machine learning course at Stanford University that machine learning was mostly feature engineering; features determined the upper limit of the prediction effect of machine learning, and the algorithm just kep
发表于 2025-3-22 04:07:20 | 显示全部楼层
Zhaohui Wu,Gang Pantestants can get a good ranking—feature engineering. Andrew Ng once mentioned in his CS229 machine learning course at Stanford University that machine learning was mostly feature engineering; features determined the upper limit of the prediction effect of machine learning, and the algorithm just kep
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Zhaohui Wu,Gang PanTencent (T), which occupied the top of search engines, e-commerce, and social software. Recently, TDJ (TikTok, DiDi, .) appeared. In the 1980s and 1990s, what was happening in the entertainment circle of Hong Kong (China) dominated the entertainment industry in mainland China, and all kinds of kings
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and definitions to make learning even easier..What You Will Learn.Programin Python and TensorFlow.Tacklebasic machine learning obstacles.Developin the Jupyter Notebooks environment.Who This Book Is For.Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Py
发表于 2025-3-23 08:12:20 | 显示全部楼层
Zhaohui Wu,Gang Panan better describe potential problems to the prediction model, thereby improving the accuracy of the model‘s predictive analysis of unseen data. High-quality features help to improve the generalization performance of the model as a whole, and features are largely associated with basic problems. Feat
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