198 citations · 959 across the 31 of their papers we have counts for
19 papers · 1 filter
Dependence and Relevance: A probabilistic view
Dan Geiger, David Heckerman
We examine three probabilistic concepts related to the sentence "two variables have no bearing on each other". We explore the relationships between these three concepts and establi…
Random Algorithms for the Loop Cutset Problem
Ann Becker, Reuven Bar-Yehuada, Dan Geiger
We show how to find a minimum loop cutset in a Bayesian network with high probability. Finding such a loop cutset is the first step in Pearl's method of conditioning for inference.…
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
Dan Geiger, Prakash Shenoy
This is the Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, which was held in Providence, RI, August 1-3, 1997
Separable and transitive graphoids
Dan Geiger, David Heckerman
We examine three probabilistic formulations of the sentence a and b are totally unrelated with respect to a given set of variables U. First, two variables a and b are totally indep…
On the Logic of Causal Models
Dan Geiger, Judea Pearl
This paper explores the role of Directed Acyclic Graphs (DAGs) as a representation of conditional independence relationships. We show that DAGs offer polynomially sound and complet…
Advances in Probabilistic Reasoning
Dan Geiger, David Heckerman
This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism th…