3. UAI 1987: Seattle, WA, USA
Laveen N. Kanal, Tod S. Levitt, John F. Lemmer (Eds.):
UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, Seattle, WA, USA, July 10-12, 1987.
Elsevier 1989, ISBN 0-444-87417-8 
- Gregory F. Cooper:
An Algorithm for Computing Probabilistic Propositions.
3-14
- Henry E. Kyburg Jr.:
Higher Order Probabilities.
15-22
- Mary McLeish:
Nilsson's Probabilistic Entailment Extended to Dempster-Shafer Theory.
23-34
- Eric Neufeld, David Poole:
Towards Solving the Multiple Extension Problem: Combining Defaults and Probability.
35-44
- Ben P. Wise:
Satisfaction of Assumptions is a Weak Predictor of Performance.
45-54
- Ben P. Wise, Bruce M. Perrin, David S. Vaughan, Robert M. Yadrick:
Evaluation of Uncertain Inference Models III: The Role of Tuning.
55-62
- John Yen:
Can Evidence be Combined in the Dempster-Shafer Theory?
63-72
- Thomas O. Binford, Tod S. Levitt, Wallace B. Mann:
Bayesian Inference in Model-Based Machine Vision.
73-96
- Lashon B. Booker, Naveen Hota, Gavin Hemphill:
Computing Belief Commitments Using Tensor Products.
97-108
- Wray L. Buntine:
Decision Tree Induction Systems: A Bayesian Analysis.
109-128
- Homer L. Chin, Gregory F. Cooper:
Bayesian Belief Network Inference Using Simulation.
129-148
- David Heckerman, Holly Brügge Jimison:
A Bayesian Perspective on Confidence.
149-160
- Max Henrion:
Some Practical Issues in Constructing Belief Networks.
161-174
- George Rebane, Judea Pearl:
The Recovery of Causal Poly-Trees from Statistical Data.
175-182
- Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert:
A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator.
183-190
- Thomas B. Slack:
Advantages and a Limitation of Using LEG Nets in a Real Time Problem.
191-198
- David J. Spiegelhalter:
A Unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems.
199-208
- Lei Xu, Judea Pearl:
Structuring Causal Tree Models with Continuous Variables.
209-222
- Gautam Biswas, Tejwansh S. Anand:
Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell.
223-240
- Piero P. Bonissone, Nancy C. Wood:
T-Norm Based Reasoning in Situation Assessment Applications.
241-256
- Paul R. Cohen:
Steps Towards Programs that Manage Uncertainty.
257-266
- Bruce D'Ambrosio:
A Hybrid Approach to Reasoning Under Uncertainty.
267-284
- Gregory D. Hager, Max Mintz:
Estimation Procedures for Robust Sensor Control.
285-300
- Eric Horvitz:
Reasoning about Beliefs and Actions Under Computational Resource Constraints.
301-324
- Ross D. Shachter, Leonard J. Bertrand:
Efficient Inference on Generalized Fault Diagrams.
325-332
- John Yen:
Implementing Evidential Reasoning in Expert Systems.
333-346
- Rich Caruana:
The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations.
347-356
- Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy:
Modifiable Combining Functions.
357-374
- Norman C. Dalkey:
The Inductive Logic of Information Systems.
375-386
- Chris Elsaesser:
Explanation of Probabilistic Inference.
387-400
- Spencer Star:
Theory-Based Inductive Learning: An Integration of Symbolic and Quantitative Methods.
401-424
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