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Statistical Relational Learning

2014
This chapter presents background on SRL models on which our work is based on. We start with a brief technical background on first-order logic and graphical models. In Sect. 2.2, we present an overview of SRL models followed by details on two popular SRL models.
Jude W. Shavlik   +3 more
openaire   +2 more sources

Learning statistical models from relational data [PDF]

open access: possibleProceedings of the 2011 ACM SIGMOD International Conference on Management of data, 2011
Statistical Relational Learning (SRL) is a subarea of machine learning which combines elements from statistical and probabilistic modeling with languages which support structured data representations. In this survey, we will: 1) provide an introduction to SRL, 2) describe some of the distinguishing characteristics of SRL systems, including relational ...
Lise Getoor, Lilyana Mihalkova
openaire   +1 more source

Statistical Relational Learning for Game Theory

IEEE Transactions on Computational Intelligence and AI in Games, 2016
In this paper, we motivate the use of models and algorithms from the area of Statistical Relational Learning (SRL) as a framework for the description and the analysis of games. SRL combines the powerful formalism of first-order logic with the capability of probabilistic graphical models in handling uncertainty in data and representing dependencies ...
openaire   +2 more sources

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