| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9652877 | Journal of Symbolic Computation | 2005 | 25 Pages |
Abstract
We study the algebraic varieties defined by the conditional independence statements of Bayesian networks. A complete algebraic classification is given for Bayesian networks on at most five random variables. Hidden variables are related to the geometry of higher secant varieties.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Luis David Garcia, Michael Stillman, Bernd Sturmfels,