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UAI
1990
13 years 6 months ago
Problem formulation as the reduction of a decision model
In this paper, we extend the QMR-DT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comp...
David Heckerman, Eric Horvitz
UAI
1994
13 years 6 months ago
Global Conditioning for Probabilistic Inference in Belief Networks
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...
Ross D. Shachter, Stig K. Andersen, Peter Szolovit...
UAI
1990
13 years 6 months ago
separable and transitive graphoids
We examine the notion of "unrelatedness" in a probabilistic framework. Three formulations are presented. In the first formulation, two variables a and b are totally inde...
Dan Geiger, David Heckerman
UAI
1990
13 years 6 months ago
Ideal reformulation of belief networks
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
Jack S. Breese, Eric Horvitz
UAI
2000
13 years 6 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore