|
|
|
|
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
|
|
|
