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ORCID8th UAI 1992: Stanford, CA, USA
- Didier Dubois, Michael P. Wellman:
UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, Stanford University, Stanford, CA, USA, July 17-19, 1992. Morgan Kaufmann 1992, ISBN 1-55860-258-5 - Zhi An, David A. Bell, John G. Hughes:
RES: A Relative Method for Evidential Reasoning. 1-8 - Remco R. Bouckaert:
Optimizing Causal Orderings for Generating DAGs from Data. 9-16 - Craig Boutilier:
Modal Logics for Qualitative Possibility and Beliefs. 17-24 - Brian Y. Chan, Ross D. Shachter:
Structural Controllability and Observability in Influence Diagrams. 25-32 - Philippe Chatalic, Christine Froidevaux:
Lattice-based Graded Logic: A Multimodal Approach. 33-40 - Paul Dagum, Adam Galper, Eric Horvitz:
Dynamic Network Models for Forecasting. 41-48 - Paul Dagum, Eric Horvitz:
Reformulating Inference Problems Through Selective Conditioning. 49-54 - Norman C. Dalkey:
Entropy and Belief Networks. 55-58 - Bruce D'Ambrosio, Tony Fountain, Zhaoyu Li:
Parallelizing Probabilistic Inference: Some Early Explorations. 59-66 - Adnan Darwiche:
Objection-based Causal Exception Networks. 67-73 - Didier Dubois, Henri Prade, Lluís Godo, Ramón López de Mántaras:
A Symbolic Approach to Reasoning with Linguistic Quantifiers. 74-82 - Francesco Fulvio Monai, Thomas Chehire:
Possibilistic Assumption based Truth Maintenance System, Validation in a Data Fusion Application. 83-91 - Dan Geiger:
An Entropy-based Learning Algorithm of Bayesian Conditional Trees. 92-97 - Angelo Gilio, Fulvio Spezzaferri:
Knowledge integration for Conditional Probability Assessments. 98-103 - Robert P. Goldman, Jack S. Breese:
Integrating Model Construction and Evaluation. 104-111 - Moisés Goldszmidt, Judea Pearl:
Reasoning with Qualitative Probabilities Can Be Tractable. 112-120 - Uffe Kjærulff:
A Computational Scheme for Reasoning in Dynamic Probabilistic Networks. 121-129 - Frank Klawonn, Philippe Smets:
The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices. 130-137 - George J. Klir, Behzad Parviz:
A Note on the Measure of Discord. 138-141 - Henry E. Kyburg Jr.:
Semantics for Probabilistic Inference. 142-148 - Henry E. Kyburg Jr., Michael Pittarelli:
Some Problems for Convex Bayesians. 149-154 - Kathryn B. Laskey:
Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World. 155-158 - Kathryn B. Laskey:
The Bounded Bayesian. 159-165 - Tze-Yun Leong:
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. 166-173 - Dekang Lin:
A Probabilistic Network of Predicates. 174-181 - Weiru Liu, John G. Hughes, Michael F. McTear:
Representing Heuristic Knowledge in D-S Theory. 182-190 - Izhar Matzkevich, Bruce Abramson:
The Topological Fusion of Bayes Nets. 191-198 - Serafín Moral:
Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities. 199-206 - Ann E. Nicholson, J. Michael Brady:
Sensor Validation Using Dynamic Belief Networks. 207-214 - Raymond T. Ng, V. S. Subrahmanian:
Empirical Probabilities in Monadic Deductive Databases. 215-222 - Kristian G. Olesen, Steffen L. Lauritzen, Finn Verner Jensen:
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks. 223-229 - Gerhard Paass:
MESA: Maximum Entropy by Simulated Annealing. 230-237 - Thomas S. Paterson, Michael R. Fehling:
Decision Methods for Adaptive Task-Sharing in Associate Systems. 238-243 - Luigi Portinale:
Modeling Uncertain Temporal Evolutions in Model-based Diagnosis. 244-251 - Yuping Qiu, Louis Anthony Cox Jr., Lawrence Davis:
Guess-and-Verify Heuristics for Reducing Uncertainties in Expert Classification Systems. 252-258 - Peter J. Regan, Samuel Holtzman:
R&D Analyst: An Interactive Approach to Normative Decision System Model Construction. 259-267 - Thomas Schiex:
Possibilistic Constraint Satisfaction Problems or "How to Handle Soft Constraints?". 268-275 - Ross D. Shachter, Mark A. Peot:
Decision Making Using Probabilistic Inference Methods. 276-283 - Prakash P. Shenoy:
Conditional lndependence in Uncertainty Theories. 284-291 - Philippe Smets:
The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model. 292-297 - Paul Snow:
Intuitions about Ordered Beliefs Leading to Probabilistic Models. 298-302 - Luis Enrique Sucar, Duncan Fyfe Gillies:
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. 303-309 - Chin-Wang Tao, Wiley E. Thompson:
A Fuzzy Logic Approach to Target Tracking. 310-314 - Helmut Thöne, Ulrich Güntzer, Werner Kießling:
Towards Precision of Probabilistic Bounds Propagation. 315-322 - Thomas Verma, Judea Pearl:
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation. 323-330 - Carl G. Wagner:
Generalizing Jeffrey Conditionalization. 331-335 - S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
Interval Structure: A Framework for Representing Uncertain Information. 336-343 - Yang Xiang, David Poole, Michael P. Beddoes:
Exploring Localization in Bayesian Networks for Large Expert Systems. 344-351 - Hong Xu:
A Decision Calculus for Belief Functions in Valuation-based Systems. 352-359
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