A Complete Characterization of Projectivity for Statistical Relational Models

Manfred Jaeger; Oliver Schulte

IJCAI 2020poster0 citations

A Complete Characterization of Projectivity for Statistical Relational Models

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

Uncertainty in AI: Statistical Relational AIMachine Learning: Relational LearningMachine Learning: Probabilistic Machine Learning

BibTeX

@inproceedings{ijcai2020p591,
  title     = {A Complete Characterization of Projectivity for Statistical Relational Models},
  author    = {Jaeger, Manfred and Schulte, Oliver},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {4283--4290},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/591},
  url       = {https://doi.org/10.24963/ijcai.2020/591},
}