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ORCID2nd UAI 1986: Philadelphia, PA, USA
- John F. Lemmer, Laveen N. Kanal:
UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, University of Pennsylvania, Philadelphia, PA, USA, August 8-10, 1986. Elsevier 1988, ISBN 0-444-70396-9 - Norman C. Dalkey:
Models vs inductive inference for dealing with probabilistic knowledge. 3-10 - David Heckerman:
An axiomatic framework for belief updates. 11-22 - David Heckerman, Eric Horvitz:
The myth of modularity in rule-based systems for reasoning with uncertainty. 23-34 - Steven J. Henkind:
Imprecise meanings as a cause of uncertainty in medical knowledge-based systems. 35-42 - Robert A. Hummel, Michael S. Landy:
Evidence as opinions of experts. 43-54 - Mary McLeish:
Probabilistic logic: some comments and possible use for nonmonotonic reasoning. 55-62 - Richard M. Tong, Lee A. Appelbaum:
Experiments with interval-valued uncertainty. 63-76 - Robert M. Yadrick, Bruce M. Perrin, David S. Vaughan, Peter D. Holden, Karl G. Kempf:
Evaulation of uncertain inference models I: PROSPECTOR. 77-88 - Ben P. Wise:
Experimentally comparing uncertain inference systems to probability. 89-102 - Stephen W. Barth, Steven W. Norton:
Knowledge engineering within a generalised bayesian framework. 103-114 - Kaihu Chen:
Learning to predict: an inductive approach. 115-124 - Brian Falkenhainer:
Towards a general-purpose belief maintenance system. 125-132 - Sally A. Goldman, Ronald L. Rivest:
A non-iterative maximum entropy algorithm. 133-148 - Max Henrion:
Propagating uncertainty in bayesian networks by probabilistic logic sampling. 149-164 - Steven W. Norton:
An explanation mechanism for bayesian inferencing systems. 165-174 - Shimon Schocken:
On the rational scope of probabilistic rule-based inference systems. 175-190 - Ross D. Shachter:
DAVID: influence diagram processing system for the macintosh. 191-196 - Michael P. Wellman:
Qualitativce probabilistic networks for planning under uncertainty. 197-208 - Ronald R. Yager:
On implementing usual values. 209-220 - Su-Shing Chen:
Some extensions of probabilistic logic. 221-228 - A. Julian Craddock, Roger A. Browse:
Belief as summarization and meta-support. 229-236 - Benjamin N. Grosof:
Non-monotonicity in probabilistic reasoning. 237-250 - James Hawthorne:
A semantic approach to non-monotonic entailments. 251-262 - Henry E. Kyburg Jr.:
Knowledge. 263-272 - Ronald Prescott Loui:
Computing reference classes. 273-290 - Judea Pearl:
Distributedrevision of belief commitment in composite explanations. 291-316 - Ross D. Shachter, David Heckerman:
A backwards view for assessment. 317-324 - Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli:
Propagation of belief functions: a distributed approach. 325-336 - Silvio Ursic:
Generalising fuzzy logic probabilistic inferences. 337-364 - Shoshana Abel:
The sum-and-lattice-points method based on an evidential-reasoning system applied to the real-time vehicle guidance problem. 365-370 - Lashon B. Booker, Naveen Hota:
Probabilistic reasoning about ship images. 371-380 - Gregory D. Hager, Hugh F. Durrant-Whyte:
Information and multi-sensor coordination. 381-394 - B. R. Fox, Karl G. Kempf:
Planning, scheduling and uncertainty in the sequence of future events. 395-402 - Ze-Nian Li, Leonard Uhr:
Evidential reasoning in a computer vision system. 403-412 - Tod S. Levitt:
Bayesian inference for radar imagery based surveillance. 413-422 - Stanley M. Schwartz, Jonathan Baron, John R. Clarke:
A causal bayesian model for the diagnosis of appendicitis. 423-434 - Randall Smith, Matthew Self, Peter C. Cheeseman:
Estimating uncertain spatial relationships in robotics. 435-461
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