Conferences in DBLP
Norman C. Dalkey Models vs inductive inference for dealing with probabilistic knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] David Heckerman An axiomatic framework for belief updates. [Citation Graph (0, 0)][DBLP ] Conf ] David Heckerman , Eric Horvitz The myth of modularity in rule-based systems for reasoning with uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Steven J. Henkind Imprecise meanings as a cause of uncertainty in medical knowledge-based systems. [Citation Graph (0, 0)][DBLP ] Conf ] Robert A. Hummel , Michael S. Landy Evidence as opinions of experts. [Citation Graph (0, 0)][DBLP ] Conf ] Mary McLeish Probabilistic logic: some comments and possible use for nonmonotonic reasoning. [Citation Graph (0, 0)][DBLP ] Conf ] Richard M. Tong , Lee A. Appelbaum Experiments with interval-valued uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Robert M. Yadrick , Bruce M. Perrin , David S. Vaughan , Peter D. Holden , Karl G. Kempf Evaulation of uncertain inference models I: PROSPECTOR. [Citation Graph (0, 0)][DBLP ] Conf ] Ben P. Wise Experimentally comparing uncertain inference systems to probability. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen W. Barth , Steven W. Norton Knowledge engineering within a generalised bayesian framework. [Citation Graph (0, 0)][DBLP ] Conf ] Kaihu Chen Learning to predict: an inductive approach. [Citation Graph (0, 0)][DBLP ] Conf ] Brian Falkenhainer Towards a general-purpose belief maintenance system. [Citation Graph (0, 0)][DBLP ] Conf ] Sally A. Goldman , Ronald L. Rivest A non-iterative maximum entropy algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Max Henrion Propagating uncertainty in bayesian networks by probabilistic logic sampling. [Citation Graph (0, 0)][DBLP ] Conf ] Steven W. Norton An explanation mechanism for bayesian inferencing systems. [Citation Graph (0, 0)][DBLP ] Conf ] Shimon Schocken On the rational scope of probabilistic rule-based inference systems. [Citation Graph (0, 0)][DBLP ] Conf ] Ross D. Shachter DAVID: influence diagram processing system for the macintosh. [Citation Graph (0, 0)][DBLP ] Conf ] Michael P. Wellman Qualitativce probabilistic networks for planning under uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald R. Yager On implementing usual values. [Citation Graph (0, 0)][DBLP ] Conf ] Su-Shing Chen Some extensions of probabilistic logic. [Citation Graph (0, 0)][DBLP ] Conf ] A. Julian Craddock , Roger A. Browse Belief as summarization and meta-support. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin N. Grosof Non-monotonicity in probabilistic reasoning. [Citation Graph (0, 0)][DBLP ] Conf ] James Hawthorne A semantic approach to non-monotonic entailments. [Citation Graph (0, 0)][DBLP ] Conf ] Henry E. Kyburg Jr. Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald Prescott Loui Computing reference classes. [Citation Graph (0, 0)][DBLP ] Conf ] Judea Pearl Distributedrevision of belief commitment in composite explanations. [Citation Graph (0, 0)][DBLP ] Conf ] Ross D. Shachter , David Heckerman A backwards view for assessment. [Citation Graph (0, 0)][DBLP ] Conf ] Prakash P. Shenoy , Glenn Shafer , Khaled Mellouli Propagation of belief functions: a distributed approach. [Citation Graph (0, 0)][DBLP ] Conf ] Silvio Ursic Generalising fuzzy logic probabilistic inferences. [Citation Graph (0, 0)][DBLP ] Conf ] Shoshana Abel The sum-and-lattice-points method based on an evidential-reasoning system applied to the real-time vehicle guidance problem. [Citation Graph (0, 0)][DBLP ] Conf ] Lashon B. Booker , Naveen Hota Probabilistic reasoning about ship images. [Citation Graph (0, 0)][DBLP ] Conf ] Gregory D. Hager , Hugh F. Durrant-Whyte Information and multi-sensor coordination. [Citation Graph (0, 0)][DBLP ] Conf ] B. R. Fox , Karl G. Kempf Planning, scheduling and uncertainty in the sequence of future events. [Citation Graph (0, 0)][DBLP ] Conf ] Ze-Nian Li , Leonard Uhr Evidential reasoning in a computer vision system. [Citation Graph (0, 0)][DBLP ] Conf ] Tod S. Levitt Bayesian inference for radar imagery based surveillance. [Citation Graph (0, 0)][DBLP ] Conf ] Stanley M. Schwartz , Jonathan Baron , John R. Clarke A causal bayesian model for the diagnosis of appendicitis. [Citation Graph (0, 0)][DBLP ] Conf ] Randall Smith , Matthew Self , Peter Cheeseman Estimating uncertain spatial relationships in robotics. [Citation Graph (0, 0)][DBLP ] Conf ] 