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ORCID7th UAI 1991: Los Angeles, CA, USA
- Bruce D'Ambrosio, Philippe Smets:
UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles, Los Angeles, CA, USA, July 13-15, 1991. Morgan Kaufmann 1991, ISBN 1-55860-203-8 - Bruce Abramson:
ARCO1: An Application of Belief Networks to the Oil Market. 1-8 - John Mark Agosta:
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models. 9-16 - Jaume Agustí-Cullell, Francesc Esteva, Pere Garcia, Lluís Godo, Carles Sierra:
Combining Multiple-valued Logics in Modular Expert Systems. 17-25 - Stéphane Amarger, Didier Dubois, Henri Prade:
Constraint Propagation with Imprecise Conditional Probabilities. 26-34 - Carlo Berzuini, David J. Spiegelhalter, Riccardo Bellazzi:
Bayesian Networks Applied to Therapy Monitoring. 35-43 - Wray L. Buntine:
Some Properties of Plausible Reasoning. 44-51 - Wray L. Buntine:
Theory Refinement on Bayesian Networks. 52-60 - José E. Cano, Serafín Moral, Juan F. Verdegay-López:
Combination of Upper and Lower Probabilities. 61-68 - Glenn Carroll, Eugene Charniak:
A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition. 69-76 - Kuo-Chu Chang, Robert M. Fung:
Symbolic Probabilistic Inference with Continuous Variables. 77-81 - Kuo-Chu Chang, Robert M. Fung:
Symbolic Probabilistic Inference with Evidence Potential. 82-85 - Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for Constructing Bayesian Belief Networks from Databases. 86-94 - Bruce D'Ambrosio:
Local Expression Languages for Probabilistic Dependence. 95-102 - John Fox, Paul J. Krause:
Decision Theory and Autonomous Systems. 103-110 - Bruno Fringuelli, Stefano Marcugini, Alfredo Milani, Silvano Rivoira:
A Reason Maintenance System Dealing with Vague Data. 111-117 - Dan Geiger, David Heckerman:
Advances in Probabilistic Reasoning. 118-126 - Adam J. Grove, Daphne Koller:
Probability Estimation in Face of Irrelevant Information. 127-134 - David Heckerman, Eric Horvitz, Blackford Middleton:
An Approximate Nonmyopic Computation for Value of Information. 135-141 - Max Henrion:
Search-Based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets. 142-150 - Eric Horvitz, Geoffrey Rutledge:
Time-Dependent Utility and Action Under Uncertainty. 151-158 - Daniel Hunter:
Non-monotonic Reasoning and the Reversibility of Belief Change. 159-164 - Yen-Teh Hsia:
Belief and Surprise - A Belief-Function Formulation. 165-173 - Robert Kennes:
Evidential Reasoning in a Categorial Perspective. 174-181 - Rudolf Kruse, Detlef D. Nauck, Frank Klawonn:
Reasoning with Mass Distributions. 182-187 - Jérôme Lang, Didier Dubois, Henri Prade:
A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency. 188-196 - Kathryn B. Laskey:
Conflict and Surprise: Heuristics for Model Revision. 197-204 - Paul E. Lehner, Azar Sadigh:
Reasoning Under Uncertainty: Some Monte Carlo Results. 205-211 - Tze-Yun Leong:
Representation Requirements for Supporting Decision Model Formulation. 212-219 - Nathaniel G. Martin, James F. Allen:
A Language for Planning with Statistics. 220-227 - Bülent Murtezaoglu, Henry E. Kyburg Jr.:
A Modification to Evidential Probability. 228-231 - Richard E. Neapolitan, James R. Kenevan:
Investigation of Variances in Belief Networks. 232-241 - Keung-Chi Ng, Bruce Abramson:
A Sensitivity Analysis of Pathfinder: A Follow-Up Study. 242-248 - Raymond T. Ng, V. S. Subrahmanian:
Non-Monotonic Negation in Probabilistic Deductive Databases. 249-256 - Robert Paasch, Alice M. Agogino:
Management of Uncertainty. 257-263 - Gerhard Paass:
Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm. 264-270 - David Poole:
Representing Bayesian Networks Within Probabilistic Horn Abduction. 271-278 - Gregory M. Provan:
Dynamic Network Updating Techniques for Diagnostic Reasoning. 279-286 - Runping Qi, David L. Poole:
High Level Path Planning with Uncertainty. 287-294 - Arthur Ramer:
Formal Model of Uncertainty for Possibilistic Rules. 295-299 - Anand S. Rao, Michael P. Georgeff:
Deliberation and its Role in the Formation of Intentions. 300-307 - Bhavani Raskutti, Ingrid Zukerman:
Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. 308-315 - Enrique H. Ruspini:
Truth as Utility: A Conceptual Synthesis. 316-322 - Alessandro Saffiotti, Elisabeth Umkehrer:
Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks. 323-331 - Sandra A. Sandri:
Structuring Bodies of Evidence. 332-338 - Eugene Santos Jr.:
On the Generation of Alternative Explanations with Implications for Belief Revision. 339-347 - Kerstin Schill, Ernst Pöppel, Christoph Zetzsche:
Completing Knowledge by Competing Hierarchies. 348-352 - Ross D. Shachter:
A Graph-Based Inference Method for Conditional Independence. 353-360 - Prakash P. Shenoy:
A Fusion Algorithm for Solving Bayesian Decision Problems. 361-369 - Solomon Eyal Shimony:
Algorithms for Irrelevance-Based Partial MAPs. 370-377 - Philippe Smets:
About Updating. 378-385 - Paul Snow:
Compressed Constraints in Probabilistic Logic and Their Revision. 386-391 - Peter Spirtes:
Detecting Causal Relations in the Presence of Unmeasured Variables. 392-397 - Deborah L. Thurston, Yun Qi Tian:
A Method for Integrating Utility Analysis. 398-405 - Wilson X. Wen:
From Relational Databases to Belief Networks. 406-413 - Nic Wilson:
A Monte-Carlo Algorithm for Dempster-Shafer Belief. 414-417 - S. K. Michael Wong, Yiyu Yao, Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief. 418-424 - Hong Xu:
An Efficient Implementation of Belief Function Propagation. 425-432 - Ronald R. Yager:
A Non-Numeric Approach to Multi-Criteria/Multi-Expert Aggregation Based on Approximate Reasoning. 433-437
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