预感 发表于 2025-3-23 11:00:43

Learning with Kernels and Logical Representationse is obtained by recording the execution trace of a program expressing background knowledge. In ., features are directly associated with mereotopological relations. Finally, in ., features correspond to the truth values of clauses dynamically generated by a greedy search algorithm guided by the empirical risk.

售穴 发表于 2025-3-23 16:21:27

Markov Logicrning algorithms are based on the conjugate gradient algorithm, pseudo-likelihood and inductive logic programming. Markov logic has been successfully applied to problems in entity resolution, link prediction, information extraction and others, and is the basis of the open-source Alchemy system.

航海太平洋 发表于 2025-3-23 18:19:56

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dictator 发表于 2025-3-24 00:21:36

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辩论的终结 发表于 2025-3-24 03:37:17

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DEMN 发表于 2025-3-24 09:07:45

A Behavioral Comparison of Some Probabilistic Logic Modelss. We further demonstrate that BLPs (resp. SLPs) can encode the relational semantics of PRMs (resp. SRMs). Whenever applicable, we provide inter-translation algorithms, present their soundness and give worked examples.

concentrate 发表于 2025-3-24 13:40:43

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Mettle 发表于 2025-3-24 18:30:31

Kristian Kersting,Luc De Raedt,Bernd Gutmann,Andreas Karwath,Niels Landwehrity submissions that could not be accommodated in the program; hopefully they will be published elsewhere. ThecontinuedsuccessoftheCCconferenceserieswouldnotbep978-3-540-21297-3978-3-540-24723-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

牌带来 发表于 2025-3-24 22:14:27

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minion 发表于 2025-3-25 00:26:09

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查看完整版本: Titlebook: Probabilistic Inductive Logic Programming; Luc Raedt,Paolo Frasconi,Stephen Muggleton Book 2008 Springer-Verlag Berlin Heidelberg 2008 Bay