PRL: a probabilistic relational language

DOI10.1007/s10994-006-5831-3zbMath1470.68222OpenAlexW1974865846MaRDI QIDQ2491361

Lise Getoor, J. R. Grant

Publication date: 29 May 2006

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-006-5831-3

zbMATH Keywords

uncertaintylogic programmingprobabilistic relational models

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Logic programming (68N17)

Related Items (6)

Learning first-order probabilistic models with combining rules ⋮ Learning directed relational models with recursive dependencies ⋮ Gradient-based boosting for statistical relational learning: the relational dependency network case ⋮ The complexity of Bayesian networks specified by propositional and relational languages ⋮ A Survey of Directed Entity-Relation--Based First-Order Probabilistic Languages ⋮ A Relational Hierarchical Model for Decision-Theoretic Assistance

Uses Software

• SPOOK
• PRISM

Cites Work

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• An analysis of first-order logics of probability
• Probabilistic Horn abduction and Bayesian networks
• Concerning measures in first order calculi
• 10.1162/jmlr.2003.3.4-5.679
• Inductive Logic Programming

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