A Complete Characterization of Projectivity for Statistical Relational Models
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
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