Uncertainty in Artificial Intelligence
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Uncertainty in Artificial Intelligence 5 Conference on Uncertainty in Artificial Intelligence ( 1989 )
Aug 18-20 1989, Windsor, ON

Edited By:

Published By: Elsevier Science, Amsterdam, NL
ISBN: 0-444-88738-5

A Decision-Analytic Model for Using Scientific Data
Harold Lehmann
A Probability Analysis of the Usefulness of Decision Aids
Paul Lehner , Theresa Mullin , Marvin Cohen
A Tractable Inference Algorithm for Diagnosing Multiple Diseases
David Heckerman
An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference
R. Chavez , Gregory Cooper
An Introduction to Algorithms for Inference in Belief Nets
Max Henrion
Assessment, Criticism and Improvement of Imprecise Subjective Probabilities for a Medical Expert System
David Spiegelhalter , Rodney Franklin , Kate Bull
Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information
Sampath Srinivas , Stuart Russell , Alice Agogino
BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems
Lashon Booker , Naveen Hota , Connie Ramsey
Can Uncertainty Management be Realized In a Finite Totally Ordered Probability Algebra?
Yang Xiang , Michael Beddoes , David Poole
Comparing Approaches to Uncertain Reasoning: Discussion System Condemnation Pays Off
Ward Edwards
Comparing Expert Systems Built Using Different Uncertain Inference Systems
David Vaughan , Bruce Perrin , Robert Yadrick , Peter Holden
Conditioning on Disjunctive Knowledge: Simpsons's Paradox in Default Logic
Eric Neufeld , J. Horton
Constructing the Pignistic Probability Function in a Context of Uncertainty
Philippe Smets
d-Separation: From Theorems to Algorithms
Dan Geiger , Tom Verma , Judea Pearl
Deciding Consistency of Databases Containing Defeasible and Strict Information
Moises Goldszmidt , Judea Pearl
Defeasible Decisions: What the Proposal Is and Isn't
Ronald Loui
Defeasible Reasoning and Uncertainty: Comments
Benjamin Grosof
Efficient Parallel Estimation for Markov Random Fields
Michael Swain , Lambert Wixson , Paul Chou
Evidence Absorption and Propagation Through Evidence Reversals
Ross Shachter
Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation
A. Kak , K. Andress , C. Lopez-Abadia , M. Carroll , J. Lewis
Inference Policies
Paul Lehner
Interval Influence Diagrams
Kenneth Fertig , John Breese
Knowledge Acquisition Techniques for Intelligent Decision Systems: Integrating Axotl and Aquinas in DDUCKS
Jeffrey Bradshaw , Stanley Covington , Peter Russo , John Boose
Lp - A Logic for Statistical Information
Fahiem Bacchus
Map Learning with Indistinguishable Locations
Kenneth Basye , Thomas Dean
Model-Based Influence Diagrams for Machine Vision
Tod Levitt , John Agosta , Thomas Binford
Now that I Have a Good Theory of Uncertainty, What Else Do I Need?
Piero Bonissone
Plan Recognition in Stories and in Life
Eugene Charniak , Robert Goldman
Representing Time in Causal Probabilistic Networks
Carlo Berzuini
Shootout-89, An Evaluation of Knowledge-based Weather Forecasting Systems (Abstract)
W. Moninger
Simulation Approaches to General Probabilistic Inference on Belief Networks
Ross Shachter , Mark Peot
Software tools for Uncertain Reasoning: An Introduction
John Breese
The Application of Dempster Shafer Theory to a Logic-Based Visual Recognition System
Gregory Provan
Uncertainty and Incompleteness: Breaking the Symmetry of Defeasible Reasoning
Piero Bonissone , David Cyrluk , James Goodwin , Jonathan Stillman
Verbal Expressions for Probability Updates: How Much More Probable is "Much More Probable"?
Christopher Elsaesser , Max Henrion
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
Robert Fung , Kuo-Chu Chang

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