Tamoxifen
发表于 2025-3-21 17:46:36
书目名称Algorithmic Learning Theory影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0152986<br><br> <br><br>书目名称Algorithmic Learning Theory读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0152986<br><br> <br><br>
REIGN
发表于 2025-3-21 21:55:23
Probabilistic Inductive Logic Programming intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductive logic programming and sketch how it can be extended
MELD
发表于 2025-3-22 02:09:39
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收养
发表于 2025-3-22 04:54:35
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OMIT
发表于 2025-3-22 10:45:51
Gerold Ambrosius,Hartmut Kaelbleed from relational databases using inductive logic programming and iterative optimization of a pseudo-likelihood measure. Inference is performed by Markov chain Monte Carlo over the minimal subset of the ground network required for answering the query. Experiments in a real-world university domain illustrate the promise of this approach.
变形
发表于 2025-3-22 13:13:32
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Isolate
发表于 2025-3-22 20:40:22
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等级的上升
发表于 2025-3-22 22:13:54
https://doi.org/10.1007/978-3-658-05277-5 with probabilistic methods..More precisely, we outline three classical settings for inductive logic programming, namely ., ., and ., and show how they can be used to learn different types of probabilistic representations.
Awning
发表于 2025-3-23 04:08:10
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大喘气
发表于 2025-3-23 09:08:20
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