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Titlebook: Computational Collective Intelligence; 13th International C Ngoc Thanh Nguyen,Lazaros Iliadis,Bogdan Trawiński Conference proceedings 2021

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發(fā)表于 2025-3-21 16:06:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Collective Intelligence
副標題13th International C
編輯Ngoc Thanh Nguyen,Lazaros Iliadis,Bogdan Trawiński
視頻videohttp://file.papertrans.cn/233/232182/232182.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Collective Intelligence; 13th International C Ngoc Thanh Nguyen,Lazaros Iliadis,Bogdan Trawiński Conference proceedings 2021
描述.This book constitutes the refereed proceedings of the 13.th. International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic.. The 58 full papers were carefully reviewed and selected from 230 submissions. The papers are grouped in topical issues on knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; cooperative strategies for decision making and optimization; data mining and machine learning; computer vision techniques; natural language processing; Internet of Things: technologies and applications; Internet of Things and computational technologies for collective intelligence; computational intelligence for multimedia understanding..
出版日期Conference proceedings 2021
關鍵詞artificial intelligence; communication systems; Knowledge representation and reasoning; computer networ
版次1
doihttps://doi.org/10.1007/978-3-030-88081-1
isbn_softcover978-3-030-88080-4
isbn_ebook978-3-030-88081-1Series 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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Yi-Zhi Huang,Li-Ming Wu,Mao-Chun Hongtax and deems to enable the modeler to compare different data metamodels, and express semantics-aware translations between different metamodels. The method is based on the Semantics Of Business Vocabulary And Rules standard. Moreover, the paper describes the Association-Oriented Metamodel as a case study for the method.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232182.jpg
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Ferroelectrics and Other Ferroic Materials,panies. The more accurate the link prediction results will bring satisfaction, reduce and avoid risks, and commercial benefits. Almost all state-of-the-art models focus on the deep learning approach, especially using convolutional neural networks (CNN). By analysing the strengths and weaknesses of t
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https://doi.org/10.1007/978-3-642-29618-5 Among the state-of-the-art approaches, the approach based on the geometric transformations has the strong point of good intuition representation. Besides, the relations in the knowledge graph is diverse, so the embedding needs to be flexible. For that reason, we focus on analyzing the characteristi
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Yi-Zhi Huang,Li-Ming Wu,Mao-Chun Hongtax and deems to enable the modeler to compare different data metamodels, and express semantics-aware translations between different metamodels. The method is based on the Semantics Of Business Vocabulary And Rules standard. Moreover, the paper describes the Association-Oriented Metamodel as a case
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