7. UAI 1991: Los Angeles, CA, USA
Bruce D'Ambrosio, Philippe Smets (Eds.): 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, Lluis 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
- 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
- Bruno Fringuelli, Stefano Marcugini, Alfredo Milani, Silvano Rivoira: A Reason Maintenance System Dealing with Vague Data. 111-117
- 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
- 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
- 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
- Tze-Yun Leong: Representation Requirements for Supporting Decision Model Formulation. 212-219
- Raymond T. Ng, V. S. Subrahmanian: Non-Monotonic Negation in Probabilistic Deductive Databases. 249-256
- 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
- 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 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
- 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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last updated on 2013-06-19T203413 by the dblp team