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Titlebook: Algorithmic Decision Theory; Second International Ronen I. Brafman,Fred S. Roberts,Alexis Tsoukiàs Conference proceedings 2011 Springer-Ver

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發(fā)表于 2025-3-21 19:03:45 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithmic Decision Theory
期刊簡稱Second International
影響因子2023Ronen I. Brafman,Fred S. Roberts,Alexis Tsoukiàs
視頻videohttp://file.papertrans.cn/153/152918/152918.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithmic Decision Theory; Second International Ronen I. Brafman,Fred S. Roberts,Alexis Tsoukiàs Conference proceedings 2011 Springer-Ver
影響因子This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Decision Theory, ADT 2011, held in Piscataway, NJ, USA, in October 2011.The 24 revised full papers presented were carefully reviewed and selected from 50 submissions.
Pindex Conference proceedings 2011
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沙發(fā)
發(fā)表于 2025-3-21 21:05:44 | 只看該作者
板凳
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0302-9743 ataway, NJ, USA, in October 2011.The 24 revised full papers presented were carefully reviewed and selected from 50 submissions.978-3-642-24872-6978-3-642-24873-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
地板
發(fā)表于 2025-3-22 06:15:42 | 只看該作者
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Irina Alam,Lara Dolecek,Puneet Guptaed by using the MOPI conditions. Since a 2-additive capacity is related to all binary alternatives, this inconsistencies checking can be more complex if the set of alternatives is very large. In this paper, we show that it is possible to limited the test of MOPI conditions to the only alternatives used in the preferential information.
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發(fā)表于 2025-3-22 21:20:22 | 只看該作者
Efficiently Eliciting Preferences from a Group of Users,However, current methods either require strong prior knowledge about the users’ preferences or can be overly cautious and inefficient. Our method, based on standard techniques from non-parametric statistics, allows the controller to choose a balance between prior knowledge and efficiency. This balance is investigated through experimental results.
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發(fā)表于 2025-3-23 02:25:58 | 只看該作者
Minimal and Complete Explanations for Critical Multi-attribute Decisions,r explanations with minimal cost supporting the fact that a choice is the weighted Condorcet winner in a multi-attribute problem. We introduce different languages for explanation, and investigate the problem of producing minimal explanations with such languages.
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發(fā)表于 2025-3-23 07:36:59 | 只看該作者
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