124 search results - page 1 / 25 » Efficient Algorithms for Conditional Independence Inference |
JMLR
2010
12 years 11 months ago
2010
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
AI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
IJAR
2007
13 years 4 months ago
2007
In this article, we consider the computational aspects of deciding whether a conditional independence statement t is implied by a list of conditional independence statements L usi...
BMCBI
2010
13 years 5 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...