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Uncertainty in Artificial Intelligence 3 Conference on Uncertainty in Artificial Intelligence ( 1987 )
Jul 10-12 1987, Seattle, WA
Edited By:
Published By: Elsevier Science, Amsterdam, NL
ISBN: 0-444-87417-8
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A Bayesian Perspective on Confidence |
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David Heckerman
, Holly Jimison
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A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator |
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Ross Shachter
, David Eddy
, Vic Hasselblad
, Robert Wolpert
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A Hybrid Approach to Reasoning Under Uncertainty |
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Bruce D'Ambrosio
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A Unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems |
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David Spiegelhalter
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Advantages and a Limitation of Using LEG Nets in a Real Time Problem |
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Thomas Slack
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An Algorithm for Computing Probabilistic Propositions |
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Gregory Cooper
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Bayesian Belief Network Inference Using Simulation |
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Homer Chin
, Gregory Cooper
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Bayesian Inference in Model-Based Machine Vision |
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Thomas Binford
, Tod Levitt
, Wallace Mann
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Can Evidence Be Combined in the Dempster-Shafer Theory? |
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John Yen
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Computing Belief Commitments Using Tensor Products |
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Lashon Booker
, Naveen Hota
, Gavin Hemphill
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Decision Tree Induction Systems: A Bayesian Analysis |
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Wray Buntine
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Efficient Inference on Generalized Fault Diagrams |
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Ross Shachter
, Leonard Bertrand
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Estimation Procedures for Robust Sensor Control |
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Greg Hager
, Max Mintz
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Evaluation of Uncertain Inference Models III: The Role of Tuning |
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Ben Wise
, Bruce Perrin
, David Vaughan
, Robert Yadrick
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Explanation of Probabilistic Inference |
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Christopher Elsaesser
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Higher Order Probabilities |
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Henry Kyburg Jr.
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Implementing Evidential Reasoning in Expert Systems |
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John Yen
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Modifiable Combining Functions |
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Paul Cohen
, Glenn Shafer
, Prakash Shenoy
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Nilsson's Probabilistic Entailment Extended to Dempster-Shafer Theory |
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Mary McLeish
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Reasoning about Beliefs and Actions under Computational Resource Constraints |
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Eric Horvitz
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Satisfaction of Assumptions is a Weak Predictor of Performance |
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Ben Wise
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Some Practical Issues in Constructing Belief Networks |
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Max Henrion
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Steps Towards Programs that Manage Uncertainty |
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Paul Cohen
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Structuring Causal Tree Models with Continuous Variables |
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Lei Xu
, Judea Pearl
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T-norm Based Reasoning in Situation Assessment Applications |
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Piero Bonissone
, Nancy Wood
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The Automatic Training of Rule Bases That Use Numerical Uncertainty Representations |
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Richard Caruana
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The Inductive Logic of Information Systems |
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Norman Dalkey
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The Recovery of Causal Poly-Trees From Statistical Data |
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George Rebane
, Judea Pearl
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Theory-Based Inductive Learning: An Integration of Symbolic and Quantitative Methods |
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Spencer Star
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Towards Solving the Multiple Extension problem: Combining Defaults and Probability |
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Eric Neufeld
, David Poole
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Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell |
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Gautam Biswas
, Teywansh Anand
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