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发表于 2025-3-21 16:10:54
书目名称Inductive Logic Programming影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0463904<br><br> <br><br>书目名称Inductive Logic Programming读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0463904<br><br> <br><br>
bourgeois
发表于 2025-3-21 20:28:32
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctionsin order to tackle real world learning problems more effectively. This is achieved by looking for an approximate solution rather than a perfect one. ALLPAD has been tested on the problem of classifying proteins according to their tertiary structure and the results compare favorably with most other approaches.
解开
发表于 2025-3-22 02:10:32
Revising Probabilistic Prolog ProgramsThe ProbLog (probabilistic prolog) language has been introduced in , where various algorithms have been developed for solving and approximating ProbLog queries. Here, we define and study the problem of revising ProbLog theories from examples.
剧本
发表于 2025-3-22 05:35:01
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lobster
发表于 2025-3-22 09:09:28
978-3-540-73846-6Springer-Verlag Berlin Heidelberg 2007
彻底明白
发表于 2025-3-22 12:53:13
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hurricane
发表于 2025-3-22 18:16:08
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责任
发表于 2025-3-22 23:04:55
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hypertension
发表于 2025-3-23 03:05:48
Margin-Based First-Order Rule Learninge-art rule learning approaches , we therefore assign weights to the rules. In this way, a rule set represents a linear classifier and one can optimize . optimization criteria, essentially reducing the misclassification error on noisy data. Since we aim at comprehensible models, we employ margins
agglomerate
发表于 2025-3-23 08:29:01
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