A Complete Characterization of Projectivity for Statistical Relational Models

Manfred Jaeger, Oliver Schulte

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Main track. Pages 4283-4290.

https://doi.org/10.24963/ijcai.2020/591

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Abstract

A generative probabilistic model for relational data consists of a family of probability distributions for relational structures over domains of different sizes. In most existing statistical relational learning (SRL) frameworks, these models are not projective in the sense that the marginal of the distribution for size-n structures on induced substructures of size k

Keywords:

Uncertainty in AI: Statistical Relational AI

Machine Learning: Relational Learning

Machine Learning: Probabilistic Machine Learning

Keywords

  • Uncertainty in AI: Statistical Relational AI
  • Machine Learning: Relational Learning
  • Machine Learning: Probabilistic Machine Learning
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