activity
19952020
most citedBayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)

157 citations · 353 across the 35 of their papers we have counts for

collaborators
Showing 2013 · cs.AIShow all

26 papers · 2 filters

cs.AI2013★ 1 cited

Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988)

Laveen Kanal, John Lemmer, Tod Levitt +1

This is the Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence, which was held in Minneapolis, MN, July 10-12, 1988

cs.AI2013★ 7 cited

Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)

Max Henrion, Laveen Kanal, John Lemmer +1

This is the Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Windsor, ON, August 18-20, 1989

cs.AI2013★ 1 cited

Intelligent Probabilistic Inference

Ross D. Shachter

The analysis of practical probabilistic models on the computer demands a convenient representation for the available knowledge and an efficient algorithm to perform inference. An a…

cs.AI2013

DAVID: Influence Diagram Processing System for the Macintosh

Ross D. Shachter

Influence diagrams are a directed graph representation for uncertainties as probabilities. The graph distinguishes between those variables which are under the control of a decision…

cs.AI2013

A Backwards View for Assessment

Ross D. Shachter, David Heckerman

Much artificial intelligence research focuses on the problem of deducing the validity of unobservable propositions or hypotheses from observable evidence.! Many of the knowledge re…

cs.AI2013★ 1 cited

Efficient Inference on Generalized Fault Diagrams

Ross D. Shachter, Leonard Bertrand

The generalized fault diagram, a data structure for failure analysis based on the influence diagram, is defined. Unlike the fault tree, this structure allows for dependence among t…