UAI 1986

37 papers

A Backwards View for Assessment Ross D. Shachter, David Heckerman

A Causal Bayesian Model for the Diagnosis of Appendicitis Stanley M. Schwartz, Jonathan Baron, John R. Clarke

A Non-Iterative Maximum Entropy Algorithm Sally A. Goldman, Ronald L. Rivest

A Semantic Approach to Non-Monotonic Entailments James Hawthorne

An Axiomatic Framework for Belief Updates David Heckerman

An Explanation Mechanism for Bayesian Inferencing Systems Steven W. Norton

Bayesian Inference for Radar Imagery Based Surveillance Tod S. Levitt

Belief as Summarization and Meta-Support A. Julian Craddock, Roger A. Browse

Computing Reference Classes Ronald Prescott Loui

DAVID: Influence Diagram Processing System for the Macintosh Ross D. Shachter

Distributedrevision of Belief Commitment in Composite Explanations Judea Pearl

Estimating Uncertain Spatial Relationships in Robotics Randall Smith, Matthew Self, Peter C. Cheeseman

Evaulation of Uncertain Inference Models I: PROSPECTOR Robert M. Yadrick, Bruce M. Perrin, David S. Vaughan, Peter D. Holden, Karl G. Kempf

Evidence as Opinions of Experts Robert A. Hummel, Michael S. Landy

Evidential Reasoning in a Computer Vision System Ze-Nian Li, Leonard Uhr

Experimentally Comparing Uncertain Inference Systems to Probability Ben P. Wise

Experiments with Interval-Valued Uncertainty Richard M. Tong, Lee A. Appelbaum

Generalising Fuzzy Logic Probabilistic Inferences Silvio Ursic

Imprecise Meanings as a Cause of Uncertainty in Medical Knowledge-Based Systems Steven J. Henkind

Information and Multi-Sensor Coordination Gregory D. Hager, Hugh F. Durrant-Whyte

Knowledge Henry E. Kyburg Jr.

Knowledge Engineering Within a Generalised Bayesian Framework Stephen W. Barth, Steven W. Norton

Learning to Predict: An Inductive Approach Kaihu Chen

Models vs Inductive Inference for Dealing with Probabilistic Knowledge Norman C. Dalkey

Non-Monotonicity in Probabilistic Reasoning Benjamin N. Grosof

On Implementing Usual Values Ronald R. Yager

On the Rational Scope of Probabilistic Rule-Based Inference Systems Shimon Schocken

Planning, Scheduling and Uncertainty in the Sequence of Future Events B. R. Fox, Karl G. Kempf

Probabilistic Logic: Some Comments and Possible Use for Nonmonotonic Reasoning Mary McLeish

Probabilistic Reasoning About Ship Images Lashon B. Booker, Naveen Hota

Propagating Uncertainty in Bayesian Networks by Probabilistic Logic Sampling Max Henrion

Propagation of Belief Functions: A Distributed Approach Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli

Qualitativce Probabilistic Networks for Planning Under Uncertainty Michael P. Wellman

Some Extensions of Probabilistic Logic Su-Shing Chen

The Myth of Modularity in Rule-Based Systems for Reasoning with Uncertainty David Heckerman, Eric Horvitz

The Sum-and-Lattice-Points Method Based on an Evidential-Reasoning System Applied to the Real-Time Vehicle Guidance Problem Shoshana Abel

Towards a General-Purpose Belief Maintenance System Brian Falkenhainer