UAI A

38 papers

YearTitle / Authors
1988UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, Los Angeles, CA, USA, July 10-12, 1985
Laveen N. Kanal, John F. Lemmer
1985A Constraint-Propagation Approach to Probabilistic Reasoning.
Judea Pearl
1985A Framework for Comparing Uncertain Inference Systems to Probability.
Ben P. Wise, Max Henrion
1985A General Approach to Decision Making with Evidential Knowledge.
Ronald R. Yager
1985An Evaluation of Two Alternatives to Minimax.
Dana S. Nau, Paul Walton Purdom Jr., Chun-Hung Tzeng
1985An Expert System Framework for Non-monotonic Reasoning About Probabilistic Assumptions.
Marvin S. Cohen
1985An Explanation of and Cure for Minimax Pathology.
Bruce Abramson
1985An Inequality Paradigm for Probabilistic Knowledge: The Logic of Conditional Probability Intervals.
Benjamin N. Grosof
1985An Odds Ratio Based Inference Engine.
David S. Vaughan, Bruce M. Perrin, Robert M. Yadrick, Peter D. Holden, Karl G. Kempf
1985Confidence Factors, Empiricism and the Dempster-Shafer Theory of Evidence.
John F. Lemmer
1985Consensus Rules.
Carlos Alberto Berenstein, Laveen N. Kanal
1985Evidential Confirmation as Transformed Probability: On the Duality of Priors and Updates.
Benjamin N. Grosof
1985Exact Reasoning About Uncertainty: On the Design of Expert Systems for Decision Support.
Samuel Holtzman, John S. Breese
1985Handling Uncertain Information: A Review of Numeric and Non-numeric Methods.
Raj Bhatnagar, Laveen N. Kanal
1985Implementing Probabilistic Reasoning.
Matthew L. Ginsberg
1985Independence and Bayesian Updating Methods.
Rodney W. Johnson
1985Induction, of and by Probability.
Larry A. Rendell
1985Inductive Inference and the Representation of Uncertainty.
Norman C. Dalkey
1985Intelligent Probabilistic Inference.
Ross D. Shachter
1985Interval-Based Decisions for Reasoning Systems.
Ronald Prescott Loui
1985Is Probability Theory Sufficient for Dealing with Uncertainty in AI: A Negative View.
Lotfi A. Zadeh
1985Knowledge Structures and Evidential Reasoning in Decision Analysis.
Gerald Liu
1985Machine Learning, Clustering and Polymorphy.
Stephen Jose Hanson, Malcolm Bauer
1985Metaprobability and Dempster-Shafer in Evidential Reasoning.
Robert M. Fung, Chee Yee Chong
1985Model-Based Probabilistic Situation Inference in Hierarchical Hypothesis Spaces.
Tod S. Levitt
1985Probabilistic Interpretation for MYCIN's Certainty Factors.
David Heckerman
1985Probabilistic Reasoning in Predictive Expert Systems.
David J. Spiegelhalter
1985Probabilistic vs. Fuzzy Reasoning.
Peter C. Cheeseman
1985Probability Judgment in Artificial Intelligence.
Glenn Shafer
1985Relative Entropy, Probabilistic Inference, and AI.
John E. Shore
1985Representing, Combining and Using Uncertain Estimates.
Henry Hamburger
1985Selecting Uncertainty Calculi and Granularity: An Experiment in Trading-off Precision and Complexity.
Piero P. Bonissone, Keith Decker
1985The Application of Algorithmic Probability to Problems in Artificial Intelligence.
Ray J. Solomonoff
1985The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research.
Eric Horvitz, David Heckerman
1985Three Arguments for Extending the Framework of Probability.
John Fox
1985Uncertain Reasoning Using Maximum Entropy Inference.
Daniel Hunter
1985Uncertainty Handling in Expert Systems: Uniform vs. Task-Specific Formalisms.
B. Chandrasekaran, Michael C. Tanner
1985What Uncertainty Judgments Can Tell About the Underlying Subjective Probabilities.
Alf C. Zimmer