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Titlebook: Current Approaches in Applied Artificial Intelligence; 28th International C Moonis Ali,Young Sig Kwon,Yongdai Kim Conference proceedings 20

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發(fā)表于 2025-3-21 17:32:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Current Approaches in Applied Artificial Intelligence
副標(biāo)題28th International C
編輯Moonis Ali,Young Sig Kwon,Yongdai Kim
視頻videohttp://file.papertrans.cn/242/241122/241122.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Current Approaches in Applied Artificial Intelligence; 28th International C Moonis Ali,Young Sig Kwon,Yongdai Kim Conference proceedings 20
描述This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.
出版日期Conference proceedings 2015
關(guān)鍵詞Algorithmic game theory and mechanism design; Artificial intelligence; Design and analysis of algorith
版次1
doihttps://doi.org/10.1007/978-3-319-19066-2
isbn_softcover978-3-319-19065-5
isbn_ebook978-3-319-19066-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Advances in Material Science and Metallurgys of DRF are in demand. So we propose a distributed algorithm that mostly satisfies DRF conditions. According to our simulation results, our distributed dominant resource fairness algorithm outperforms a naive distributed extension of DRF.
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Marcos R. Rossi-Santos,Charles W. Finklpper Confidence Bounds applied to Trees (UCT). The proposed solutions are notably better than existing work. The strongest proposal is able to win 67% of games played against a known, good finite-state solution, even when the finite-state solution has the unfair advantage of starting the game.
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Vaishali Umrania,Vimal M. Shah,Sharad Shukla synonyms require special handling, and a set of resolution rules are proposed. Situations encountered throughout the integration suggested that variations in the cross-references would facilitate future integration of distinct disease databases.
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Conference proceedings 2015plied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive model
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