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Uncertainty in Artificial Intelligence 2 Conference on Uncertainty in Artificial Intelligence ( 1986 )
Aug 8-10 1986, Philadelphia, PA
Edited By:
Published By: Elsevier Science, Amsterdam, NL
ISBN: 0-444-70396-9
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A Backwards View for Assessment |
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Ross Shachter
, David Heckerman
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A Casual Bayesian Model for the Diagnosis of Appendicitis |
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Stanley Schwartz
, Jonathan Baron
, John Clarke
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A Non-Iterative Maximum Entropy Algorithm |
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Sally Goldman
, Ronald Rivest
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A Semantic Approach to Non-Monotonic Entailments |
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James Hawthorne
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An Axiomatic Framework for Belief Updates |
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David Heckerman
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An Explanation Mechanism for Bayesian Inferencing Systems |
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Steven Norton
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Bayesian Inference for Radar Imagery Based Surveillance |
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Tod Levitt
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Belief as Summarization and Meta-Support |
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A. Craddock
, Roger Browse
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Computing Reference Classes |
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Ronald Loui
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DAVID: Influence Diagram Processing System for the Macintosh |
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Ross Shachter
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Distributed Revision of Belief Commitment in Composite Explanations |
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Judea Pearl
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Estimating Uncertain Spatial Relationships in Robotics |
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Randall Smith
, Matthew Self
, Peter Cheeseman
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Evaluation of Uncertain Inference Models I: PROSPECTOR |
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Robert Yadrick
, Bruce Perrin
, David Vaughan
, Peter Holden
, Karl Kempf
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Evidence as Opinions of Experts |
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Robert Hummel
, Michael Landy
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Evidential Reasoning in a Computer Vision System |
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Ze-Nian Li
, Leonard Uhr
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Experimentally Comparing Uncertain Inference Systems to Probability |
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Ben Wise
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Experiments with Interval-Valued Uncertainty |
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Richard Tong
, Lee Appelbaum
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Generalizing Fuzzy Logic Probabilistic Inferences |
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Silvio Ursic
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Imprecise Meanings as a Cause of Uncertainty in Medical Knowledge-Based Systems |
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Steven Henkind
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Information and Multi-Sensor Coordination |
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Greg Hager
, Hugh Durrant-Whyte
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Knowledge |
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Henry Kyburg Jr.
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Knowledge Engineering Within A Generalized Bayesian Framework |
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Stephen Barth
, Steven Norton
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Learning to Predict: An Inductive Approach |
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Kaihu Chen
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Models vs. Inductive Inference for Dealing with Probabilistic Knowledge |
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Norman Dalkey
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Non-Monotonicity in Probabilistic Reasoning |
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Benjamin Grosof
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On Implementing Usual Values |
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Ronald Yager
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On the Rational Scope of Probabilistic Rule-Based Inference Systems |
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Shimon Schocken
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Planning, Scheduling, and Uncertainty in the Sequence of Future Events |
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B. Fox
, Karl Kempf
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Probabilistic Logic: Some Comments and Possible Use for Nonmonotonic Reasoning |
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Mary McLeish
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Probabilistic Reasoning About Ship Images |
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Lashon Booker
, Naveen Hota
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Propagating Uncertainty in Bayesian Networks by Probabilistic Logic Sampling |
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Max Henrion
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Propagation of Belief Functions: A Distributed Approach |
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Prakash Shenoy
, Glenn Shafer
, Khaled Mellouli
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Qualitative Probabilistic Networks for Planning Under Uncertainty |
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Michael Wellman
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Some Extensions of Probabilistic Logic |
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Su-shing Chen
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The Myth of Modularity In Rule-Based Systems for Reasoning with Uncertainty |
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David Heckerman
, Eric Horvitz
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The Sum-and-Lattice-Points Method Based on an Evidential-Reasoning System Applied to the Real-Time Vehicle Guidance Problem |
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Shoshana Abel
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Towards A General-Purpose Belief Maintenance System |
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Brian Falkenhainer
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