Using Histograms to Better Answer Queries to Probabilistic Logic Programs

DOI10.1007/978-3-642-02846-5_9zbMath1251.68052OpenAlexW2100868594MaRDI QIDQ4649723

V. S. Subrahmanian, Matthias Broecheler, Gerardo I. Simari

Publication date: 13 November 2012

Published in: Logic Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-02846-5_9

zbMATH Keywords

imprecise probabilitiesprobabilistic logic programming

Mathematics Subject Classification ID

Logic programming (68N17) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Related Items (4)

Imprecise probabilistic query answering using measures of ignorance and degree of satisfaction ⋮ An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version) ⋮ Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics ⋮ Probabilistic characterisation of models of first-order theories

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