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ORCID3rd UAI 1987: Seattle, WA, USA
- Laveen N. Kanal, Tod S. Levitt, John F. Lemmer:
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 L. 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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