UAI 1987

31 papers

A Bayesian Perspective on Confidence David Heckerman, Holly Brügge Jimison

A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert

A Hybrid Approach to Reasoning Under Uncertainty Bruce D'Ambrosio

A Unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems David J. Spiegelhalter

Advantages and a Limitation of Using LEG Nets in a Real Time Problem Thomas B. Slack

An Algorithm for Computing Probabilistic Propositions Gregory F. Cooper

Bayesian Belief Network Inference Using Simulation Homer L. Chin, Gregory F. Cooper

Bayesian Inference in Model-Based Machine Vision Thomas O. Binford, Tod S. Levitt, Wallace B. Mann

Can Evidence Be Combined in the Dempster-Shafer Theory? John Yen

Computing Belief Commitments Using Tensor Products Lashon B. Booker, Naveen Hota, Gavin Hemphill

Decision Tree Induction Systems: A Bayesian Analysis Wray L. Buntine

Efficient Inference on Generalized Fault Diagrams Ross D. Shachter, Leonard J. Bertrand

Estimation Procedures for Robust Sensor Control Gregory D. Hager, Max Mintz

Evaluation of Uncertain Inference Models III: The Role of Tuning Ben P. Wise, Bruce M. Perrin, David S. Vaughan, Robert M. Yadrick

Explanation of Probabilistic Inference Chris Elsaesser

Higher Order Probabilities Henry E. Kyburg Jr.

Implementing Evidential Reasoning in Expert Systems John Yen

Modifiable Combining Functions Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy

Nilsson's Probabilistic Entailment Extended to Dempster-Shafer Theory Mary McLeish

Reasoning About Beliefs and Actions Under Computational Resource Constraints Eric Horvitz

Satisfaction of Assumptions Is a Weak Predictor of Performance Ben P. Wise

Some Practical Issues in Constructing Belief Networks Max Henrion

Steps Towards Programs That Manage Uncertainty Paul R. Cohen

Structuring Causal Tree Models with Continuous Variables Lei Xu, Judea Pearl

T-Norm Based Reasoning in Situation Assessment Applications Piero P. Bonissone, Nancy C. Wood

The Automatic Training of Rule Bases That Use Numerical Uncertainty Representations Rich Caruana

The Inductive Logic of Information Systems Norman C. Dalkey

The Recovery of Causal Poly-Trees from Statistical Data George Rebane, Judea Pearl

Theory-Based Inductive Learning: An Integration of Symbolic and Quantitative Methods Spencer Star

Towards Solving the Multiple Extension Problem: Combining Defaults and Probability Eric Neufeld, David L. Poole

Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell Gautam Biswas, Tejwansh S. Anand