2020
IJCAI
IJCAI 2020
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 Keywords:Uncertainty in AI: Statistical Relational AI Machine Learning: Relational Learning Machine Learning: Probabilistic Machine Learning
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning and Mathematics & Optimization
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
Authors
Topics
Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling
Machine Learning > Optimization & Theory > Statistical Learning
Machine Learning > Optimization & Theory > Theory
Mathematics & Optimization > Mathematics > Graph Theory
Machine Learning > Bayesian & Probabilistic > Probabilistic Modeling
Artificial Intelligence > Core AI > Knowledge Representation