Reagan
发表于 2025-3-21 17:32:38
书目名称Graph Structures for Knowledge Representation and Reasoning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0387937<br><br> <br><br>书目名称Graph Structures for Knowledge Representation and Reasoning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0387937<br><br> <br><br>
BUDGE
发表于 2025-3-21 23:39:31
Laura Weiss Roberts,Christopher H. Warnerbility distributions. We introduce . as graph-based structures that generalize Bayesian networks to the theory of subjective logic. We discuss the perspectives of the subjective networks representation and the challenges of reasoning with them.
渐强
发表于 2025-3-22 01:41:12
An Overview of Argumentation Frameworks for Decision Support,n of decision problems as well as an automatic evaluation of the goodness of decisions. We overview several such uses of argumentation frameworks and discuss future directions of research, including cross-fertilisations amongst them.
湿润
发表于 2025-3-22 08:26:37
Subjective Networks: Perspectives and Challenges,bility distributions. We introduce . as graph-based structures that generalize Bayesian networks to the theory of subjective logic. We discuss the perspectives of the subjective networks representation and the challenges of reasoning with them.
watertight,
发表于 2025-3-22 09:35:07
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薄荷醇
发表于 2025-3-22 16:06:05
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薄荷醇
发表于 2025-3-22 19:30:28
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Banister
发表于 2025-3-22 22:21:28
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anatomical
发表于 2025-3-23 01:58:44
Learning Bayesian Networks with Non-Decomposable Scores,amming and heuristic search methods. These approaches operate in a search space called the order graph, which has been investigated extensively in recent years. In this paper, we break from this tradition, and show that one can effectively learn structures using non-decomposable scores by exploring
cardiovascular
发表于 2025-3-23 06:04:57
Combinatorial Results on Directed Hypergraphs for the SAT Problem,roblem by searching a transversal of the directed hypergraphs associated to its instance. We introduce some particular clause orderings and study their influence on the backtrack process, exhibiting a new subclass of CNF for which SAT is polynomial. Based on unit resolution and a novel dichotomous s