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Titlebook: Multi-disciplinary Trends in Artificial Intelligence; 6th International Wo Chattrakul Sombattheera,Nguyen Kim Loi,Tho Quan Conference proce

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發(fā)表于 2025-3-21 19:06:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Multi-disciplinary Trends in Artificial Intelligence
副標(biāo)題6th International Wo
編輯Chattrakul Sombattheera,Nguyen Kim Loi,Tho Quan
視頻videohttp://file.papertrans.cn/641/640065/640065.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Multi-disciplinary Trends in Artificial Intelligence; 6th International Wo Chattrakul Sombattheera,Nguyen Kim Loi,Tho Quan Conference proce
描述This volume constitutes the refereed proceedings of the 6th Multi-disciplinary International Workshop On Artificial Intelligence, MIWAI 2012, held in Ho Chi Minh City, Vietnam, in December 2012. The 29 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections in AI-GIS for climate change, computer vision, decision theory, e-commerce and AI, multiagent planning and learning, game theory, industrial applications of AI, multiagent systems and evolving intelligence, robotics and Web services.
出版日期Conference proceedings 2012
關(guān)鍵詞artificial neural networks; granular computing; knowledge representation; network intrusion detection; s
版次1
doihttps://doi.org/10.1007/978-3-642-35455-7
isbn_softcover978-3-642-35454-0
isbn_ebook978-3-642-35455-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Conference proceedings 2012Ho Chi Minh City, Vietnam, in December 2012. The 29 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections in AI-GIS for climate change, computer vision, decision theory, e-commerce and AI, multiagent planning and le
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Multi-disciplinary Trends in Artificial Intelligence978-3-642-35455-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-642-35455-7artificial neural networks; granular computing; knowledge representation; network intrusion detection; s
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