children
发表于 2025-3-21 19:04:14
书目名称Scalable Uncertainty Management影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0861055<br><br> <br><br>书目名称Scalable Uncertainty Management读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0861055<br><br> <br><br>
阴郁
发表于 2025-3-21 23:34:56
https://doi.org/10.1007/978-3-319-67582-4argumentation; artificial intelligence; Bayesian networks; data provenance; formal logic; fuzzy logic; heu
假设
发表于 2025-3-22 04:23:06
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规范就好
发表于 2025-3-22 05:56:32
Maximum Likelihood Estimation and Coarse Dataxpressed in terms of subsets of the sample space. We consider situations where the coarsening process is stochastic, and illustrate with examples how ignoring this process may produce misleading estimations.
防止
发表于 2025-3-22 10:45:19
Reasons and Means to Model Preferences as Incompletenary relation. Much has been written however on different models of preferences. We review some of the reasons that have been put forward to justify more complex modeling, and review some of the techniques that have been proposed to obtain models of such preferences.
大火
发表于 2025-3-22 15:35:19
Measuring Disagreement in Argumentation Graphson of . as well as a set of principles that such a measure should satisfy. We propose some intuitive measures and show that they fail to satisfy some of the principles. Then, we come up with a more discriminating measure which satisfies them all. Finally, we relate some measures to those quantifying inconsistency in knowledge bases.
能量守恒
发表于 2025-3-22 17:12:59
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MORT
发表于 2025-3-23 00:40:07
978-3-319-67581-7Springer International Publishing AG 2017
VEIL
发表于 2025-3-23 04:17:12
Scalable Uncertainty Management978-3-319-67582-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
凶猛
发表于 2025-3-23 06:47:32
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