UAI 1985

37 papers

A Constraint-Propagation Approach to Probabilistic Reasoning Judea Pearl

A Framework for Comparing Uncertain Inference Systems to Probability Ben P. Wise, Max Henrion

A General Approach to Decision Making with Evidential Knowledge Ronald R. Yager

An Evaluation of Two Alternatives to Minimax Dana S. Nau, Paul Walton Purdom Jr., Chun-Hung Tzeng

An Expert System Framework for Non-Monotonic Reasoning About Probabilistic Assumptions Marvin S. Cohen

An Explanation of and Cure for Minimax Pathology Bruce Abramson

An Inequality Paradigm for Probabilistic Knowledge: The Logic of Conditional Probability Intervals Benjamin N. Grosof

An Odds Ratio Based Inference Engine David S. Vaughan, Bruce M. Perrin, Robert M. Yadrick, Peter D. Holden, Karl G. Kempf

Confidence Factors, Empiricism and the Dempster-Shafer Theory of Evidence John F. Lemmer

Consensus Rules Carlos Alberto Berenstein, Laveen N. Kanal

Evidential Confirmation as Transformed Probability: On the Duality of Priors and Updates Benjamin N. Grosof

Exact Reasoning About Uncertainty: On the Design of Expert Systems for Decision Support Samuel Holtzman, John S. Breese

Handling Uncertain Information: A Review of Numeric and Non-Numeric Methods Raj Bhatnagar, Laveen N. Kanal

Implementing Probabilistic Reasoning Matthew L. Ginsberg

Independence and Bayesian Updating Methods Rodney W. Johnson

Induction, of and by Probability Larry A. Rendell

Inductive Inference and the Representation of Uncertainty Norman C. Dalkey

Intelligent Probabilistic Inference Ross D. Shachter

Interval-Based Decisions for Reasoning Systems Ronald Prescott Loui

Is Probability Theory Sufficient for Dealing with Uncertainty in AI: A Negative View Lotfi A. Zadeh

Knowledge Structures and Evidential Reasoning in Decision Analysis Gerald Liu

Machine Learning, Clustering and Polymorphy Stephen Jose Hanson, Malcolm Bauer

Metaprobability and Dempster-Shafer in Evidential Reasoning Robert M. Fung, Chee Yee Chong

Model-Based Probabilistic Situation Inference in Hierarchical Hypothesis Spaces Tod S. Levitt

Probabilistic Interpretation for MYCIN's Certainty Factors David Heckerman

Probabilistic Reasoning in Predictive Expert Systems David J. Spiegelhalter

Probabilistic vs. Fuzzy Reasoning Peter C. Cheeseman

Probability Judgment in Artificial Intelligence Glenn Shafer

Relative Entropy, Probabilistic Inference, and AI John E. Shore

Representing, Combining and Using Uncertain Estimates Henry Hamburger

Selecting Uncertainty Calculi and Granularity: An Experiment in Trading-Off Precision and Complexity Piero P. Bonissone, Keith Decker

The Application of Algorithmic Probability to Problems in Artificial Intelligence Ray J. Solomonoff

The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research Eric Horvitz, David Heckerman

Three Arguments for Extending the Framework of Probability John Fox

Uncertain Reasoning Using Maximum Entropy Inference Daniel Hunter

Uncertainty Handling in Expert Systems: Uniform vs. Task-Specific Formalisms B. Chandrasekaran, Michael C. Tanner

What Uncertainty Judgments Can Tell About the Underlying Subjective Probabilities Alf C. Zimmer