Characterizations of Decomposable Dependency Models
Artificial Intelligence
2014-11-17 v1
Abstract
Decomposable dependency models possess a number of interesting and useful properties. This paper presents new characterizations of decomposable models in terms of independence relationships, which are obtained by adding a single axiom to the well-known set characterizing dependency models that are isomorphic to undirected graphs. We also briefly discuss a potential application of our results to the problem of learning graphical models from data.
Keywords
Cite
@article{arxiv.cs/9612103,
title = {Characterizations of Decomposable Dependency Models},
author = {L. M. deCampos},
journal= {arXiv preprint arXiv:cs/9612103},
year = {2014}
}
Comments
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