Applying the information bottleneck to statistical relational learning

DOI10.1007/s10994-011-5247-6zbMath1243.68247OpenAlexW2042996829WikidataQ58063752 ScholiaQ58063752MaRDI QIDQ439020

Nicola Di Mauro, Fabrizio Riguzzi

Publication date: 31 July 2012

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

Full work available at URL: https://doi.org/10.1007/s10994-011-5247-6

zbMATH Keywords

inductive logic programmingstatistical relational learningdistribution semanticsknowledge based model constructionprobabilistic inductive logic programming

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Logic programming (68N17)

Related Items (3)

Structure learning of probabilistic logic programs by searching the clause space ⋮ Bandit-based Monte-Carlo structure learning of probabilistic logic programs ⋮ Abduction with probabilistic logic programming under the distribution semantics

Uses Software

• ProbLog

Cites Work

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