Quantified neural Markov logic networks

DOI10.1016/j.ijar.2024.109172MaRDI QIDQ6577671

Peter Jung, Giuseppe Marra, Ondřej Kuželka

Publication date: 24 July 2024

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

Markov logic networksstatistical relational learning

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Semantic-based regularization for learning and inference
• An analysis of first-order logics of probability
• Multilayer feedforward networks are universal approximators
• Neural probabilistic logic programming in DeepProbLog
• Markov logic networks
• Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers
• Approximation by superpositions of a sigmoidal function
• From statistical relational to neurosymbolic artificial intelligence: a survey

Related Items (1)

Synergies between machine learning and reasoning -- an introduction by the Kay R. Amel group

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