English

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

See http://www.jair.org/ for any accompanying files