Online Bayesian inference for the parameters of PRISM programs

DOI10.1007/s10994-012-5305-8zbMath1260.68325OpenAlexW2092058104MaRDI QIDQ1945138

James Cussens

Publication date: 2 April 2013

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

Full work available at URL: https://doi.org/10.1007/s10994-012-5305-8

zbMATH Keywords

Bayesian statisticsmissing datainductive logic programmingmixture modelsstatistical relational learningPRISM

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Learning failure-free PRISM programs ⋮ Studying the effective brain connectivity using multiregression dynamic models

Uses Software

• R
• Mercury
• BayesDA

Cites Work

• Variational Bayes via propositionalized probability computation in PRISM
• Approximate Bayesian Computation for the Parameters of PRISM Programs
• Probabilistic Inductive Querying Using ProbLog
• Probabilistic Networks and Expert Systems
• The execution algorithm of mercury, an efficient purely declarative logic programming language
• 10.1162/jmlr.2003.3.4-5.993
• Parameter estimation in stochastic logic programs
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