Characterizations of Decomposable Dependency Models (Research Note)

JAIR 1996 pp. 289-300

doi:10.1613/JAIR.329 /jair/1996/decampos1996jair-characterizations/

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.

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Text

de Campos. "Characterizations of Decomposable Dependency Models (Research Note)." Journal of Artificial Intelligence Research, 1996. doi:10.1613/JAIR.329

Markdown

[de Campos. "Characterizations of Decomposable Dependency Models (Research Note)." Journal of Artificial Intelligence Research, 1996.](https://mlanthology.org/jair/1996/decampos1996jair-characterizations/) doi:10.1613/JAIR.329

BibTeX

@article{decampos1996jair-characterizations,
  title     = {{Characterizations of Decomposable Dependency Models (Research Note)}},
  author    = {de Campos, Luis M.},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {1996},
  pages     = {289-300},
  doi       = {10.1613/JAIR.329},
  volume    = {5},
  url       = {https://mlanthology.org/jair/1996/decampos1996jair-characterizations/}
}