UAI A

38 papers

YearTitle / Authors
1988UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, University of Pennsylvania, Philadelphia, PA, USA, August 8-10, 1986
John F. Lemmer, Laveen N. Kanal
1986A backwards view for assessment.
Ross D. Shachter, David Heckerman
1986A causal bayesian model for the diagnosis of appendicitis.
Stanley M. Schwartz, Jonathan Baron, John R. Clarke
1986A non-iterative maximum entropy algorithm.
Sally A. Goldman, Ronald L. Rivest
1986A semantic approach to non-monotonic entailments.
James Hawthorne
1986An axiomatic framework for belief updates.
David Heckerman
1986An explanation mechanism for bayesian inferencing systems.
Steven W. Norton
1986Bayesian inference for radar imagery based surveillance.
Tod S. Levitt
1986Belief as summarization and meta-support.
A. Julian Craddock, Roger A. Browse
1986Computing reference classes.
Ronald Prescott Loui
1986DAVID: influence diagram processing system for the macintosh.
Ross D. Shachter
1986Distributedrevision of belief commitment in composite explanations.
Judea Pearl
1986Estimating uncertain spatial relationships in robotics.
Randall Smith, Matthew Self, Peter C. Cheeseman
1986Evaulation of uncertain inference models I: PROSPECTOR.
Robert M. Yadrick, Bruce M. Perrin, David S. Vaughan, Peter D. Holden, Karl G. Kempf
1986Evidence as opinions of experts.
Robert A. Hummel, Michael S. Landy
1986Evidential reasoning in a computer vision system.
Ze-Nian Li, Leonard Uhr
1986Experimentally comparing uncertain inference systems to probability.
Ben P. Wise
1986Experiments with interval-valued uncertainty.
Richard M. Tong, Lee A. Appelbaum
1986Generalising fuzzy logic probabilistic inferences.
Silvio Ursic
1986Imprecise meanings as a cause of uncertainty in medical knowledge-based systems.
Steven J. Henkind
1986Information and multi-sensor coordination.
Gregory D. Hager, Hugh F. Durrant-Whyte
1986Knowledge engineering within a generalised bayesian framework.
Stephen W. Barth, Steven W. Norton
1986Knowledge.
Henry E. Kyburg Jr.
1986Learning to predict: an inductive approach.
Kaihu Chen
1986Models vs inductive inference for dealing with probabilistic knowledge.
Norman C. Dalkey
1986Non-monotonicity in probabilistic reasoning.
Benjamin N. Grosof
1986On implementing usual values.
Ronald R. Yager
1986On the rational scope of probabilistic rule-based inference systems.
Shimon Schocken
1986Planning, scheduling and uncertainty in the sequence of future events.
B. R. Fox, Karl G. Kempf
1986Probabilistic logic: some comments and possible use for nonmonotonic reasoning.
Mary McLeish
1986Probabilistic reasoning about ship images.
Lashon B. Booker, Naveen Hota
1986Propagating uncertainty in bayesian networks by probabilistic logic sampling.
Max Henrion
1986Propagation of belief functions: a distributed approach.
Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
1986Qualitativce probabilistic networks for planning under uncertainty.
Michael P. Wellman
1986Some extensions of probabilistic logic.
Su-shing Chen
1986The myth of modularity in rule-based systems for reasoning with uncertainty.
David Heckerman, Eric Horvitz
1986The sum-and-lattice-points method based on an evidential-reasoning system applied to the real-time vehicle guidance problem.
Shoshana Abel
1986Towards a general-purpose belief maintenance system.
Brian Falkenhainer