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Titlebook: Modeling Decisions for Artificial Intelligence; 19th International C Vicen? Torra,Yasuo Narukawa Conference proceedings 2022 The Editor(s)

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發(fā)表于 2025-3-21 17:40:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Modeling Decisions for Artificial Intelligence
副標(biāo)題19th International C
編輯Vicen? Torra,Yasuo Narukawa
視頻videohttp://file.papertrans.cn/636/635976/635976.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Modeling Decisions for Artificial Intelligence; 19th International C Vicen? Torra,Yasuo Narukawa Conference proceedings 2022 The Editor(s)
描述This book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022..The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions.?.The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science..
出版日期Conference proceedings 2022
關(guān)鍵詞aggregation functions; artificial intelligence; computer networks; computer security; computer systems; c
版次1
doihttps://doi.org/10.1007/978-3-031-13448-7
isbn_softcover978-3-031-13447-0
isbn_ebook978-3-031-13448-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Conference proceedings 2022gregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science..
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0302-9743 rivacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science..978-3-031-13447-0978-3-031-13448-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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978-3-031-13447-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/635976.jpg
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Trace element associations as indicators of sediment accumulation in lakes lake than other factors. Specific geochemical associations of elements are connected with each factor and are the factor indicators. The correlation of these associations are analyzed as geochemical indices of the variability of sediment accumulation conditions in time.
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