EXERT
发表于 2025-3-21 19:03:45
书目名称Algorithmic Decision Theory影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0152918<br><br> <br><br>书目名称Algorithmic Decision Theory读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0152918<br><br> <br><br>
Cupidity
发表于 2025-3-21 21:05:44
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歌唱队
发表于 2025-3-22 03:11:15
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
predict
发表于 2025-3-22 06:15:42
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MAUVE
发表于 2025-3-22 10:31:31
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Commonplace
发表于 2025-3-22 16:29:04
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Optometrist
发表于 2025-3-22 18:35:02
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.
Charitable
发表于 2025-3-22 21:20:22
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.
expeditious
发表于 2025-3-23 02:25:58
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.
FLIT
发表于 2025-3-23 07:36:59
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