一再
发表于 2025-3-21 19:30:28
书目名称New Frontiers in Artificial Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0665239<br><br> <br><br>书目名称New Frontiers in Artificial Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0665239<br><br> <br><br>
COKE
发表于 2025-3-21 22:18:36
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Delude
发表于 2025-3-22 00:40:04
PROLEG: An Implementation of the Presupposed Ultimate Fact Theory of Japanese Civil Code by PROLOG Togic programming is difficult for lawyers to understand. So, in this paper, we change knowledge representation of rules in the JUF theory in PROLEG so that we reflect lawyers’ reasoning using the idea of “openness” proposed by a judge who is a main investigator of the JUF theory.
地名表
发表于 2025-3-22 08:00:53
0302-9743 rganized in sections Logic and Engineering of Natural Language Semantics (LENLS), Juris-Informatics (JURISIN), Advanced Methodologies for Bayesian Networks (AMBN), and Innovating Service Systems (ISS).978-3-642-25654-7978-3-642-25655-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
Emmenagogue
发表于 2025-3-22 09:14:58
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ventilate
发表于 2025-3-22 16:09:56
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套索
发表于 2025-3-22 20:45:29
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原来
发表于 2025-3-23 01:00:06
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歌剧等
发表于 2025-3-23 04:13:31
Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approachorithm can learn Bayesian networks with several hundreds of nodes when the degree of super-structure is around four. Numerical experiments indicate that constraint optimal search outperforms state-of-the-art heuristic algorithms in terms of accuracy, even if the super-structure is also learned by data.
牛的细微差别
发表于 2025-3-23 07:26:46
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