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Titlebook: Nordic Artificial Intelligence Research and Development; 4th Symposium of the Evi Zouganeli,Anis Yazidi,Pedro Lind Conference proceedings‘‘

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發(fā)表于 2025-3-21 19:23:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nordic Artificial Intelligence Research and Development
副標(biāo)題4th Symposium of the
編輯Evi Zouganeli,Anis Yazidi,Pedro Lind
視頻videohttp://file.papertrans.cn/668/667966/667966.mp4
概述This book is open access, which means that you have free and unlimited access
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Nordic Artificial Intelligence Research and Development; 4th Symposium of the Evi Zouganeli,Anis Yazidi,Pedro Lind Conference proceedings‘‘
描述This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022.?.The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows:?robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods..This is an open access book..
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2022
關(guān)鍵詞artificial intelligence; clustering algorithms; computer security; computer vision; correlation analysis
版次1
doihttps://doi.org/10.1007/978-3-031-17030-0
isbn_softcover978-3-031-17029-4
isbn_ebook978-3-031-17030-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:15:59 | 只看該作者
The Kernelized Taylor Diagramibutions. The kernelized Taylor diagram relates the maximum mean discrepancy and the kernel mean embedding in a single diagram, a construction that, to the best of our knowledge, have not been devised prior to this work. We believe that the kernelized Taylor diagram can be a valuable tool in data visualization.
板凳
發(fā)表于 2025-3-22 02:29:53 | 只看該作者
地板
發(fā)表于 2025-3-22 04:49:14 | 只看該作者
Simulating University Application Data for?Fair Matchingsthat, e.g., take into account student preferences, gender balance, university preferences and study outcomes. More generally, it creates a benchmark for testing matching algorithms and fairness notions without revealing sensitive data.
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發(fā)表于 2025-3-22 09:36:48 | 只看該作者
Conference proceedings‘‘‘‘‘‘‘‘ 2022, 2022.?.The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows:?robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods..Th
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發(fā)表于 2025-3-22 14:17:48 | 只看該作者
Improving the?Usability of?Tabular Data Through Data Annotation, Repair and?Augmentationng values (data) issues), and . (to dynamically add meaningful columns and corresponding cell values to the dataset). An evaluation of the SINATRA approach based on datasets from a state-of-the-art benchmark shows promising results in terms of F1-measure and precision.
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發(fā)表于 2025-3-22 18:19:58 | 只看該作者
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發(fā)表于 2025-3-22 21:22:06 | 只看該作者
statistics, computer science, and machine learning, with a distinctheft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well...Additional learning tools:..Contains “War Stories,” offering perspectives on how data science applies in t
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發(fā)表于 2025-3-23 01:27:54 | 只看該作者
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發(fā)表于 2025-3-23 06:05:26 | 只看該作者
Evi Zouganeli,Athanasios Lentzaspendices on related process models..The book can be used to developnew courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines..
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