Uncertainty in Artificial Intelligence. Proceedings of the Ninth Conference (1993)

Content: 
Front Matter, Page i
Copyright, Page ii
Preface, Page vii, David Heckerman, Abe Mamdani, Michael P. Wellman
Acknowledgements, Page viii
Causality in Bayesian Belief Networks, Pages 3-11, Marek J. Druzdzel, Herbert A. Simon
From Conditional Oughts to Qualitative Decision Theory, Pages 12-20, Judea Pearl
A Probabilistic Algorithm for Calculating Structure: Borrowing from Simulated Annealing, Pages 23-31, Russ B. Altman
A Study of Scaling Issues in Bayesian Belief Networks for Ship Classification, Pages 32-39, S.A. Musman, L.W. Chang
TRADEOFFS IN CONSTRUCTING AND EVALUATING TEMPORAL INFLUENCE DIAGRAMS, Pages 40-47, Gregory M. Provan
End-User Construction of Influence Diagrams for Bayesian Statistics, Pages 48-54, Harold P. Lehmann, Ross D. Shachter
On Considering Uncertainty and Alternatives in Low-Level Vision, Pages 55-63, Steven M. LaValle, Seth A. Hutchinson
Forecasting Sleep Apnea with Dynamic Network Models, Pages 64-71, Paul Dagum, Adam Galper
Normative Engineering Risk Management Systems, Pages 72-79, Peter J. Regan
Diagnosis of Multiple Faults: A Sensitivity Analysis, Pages 80-87, David Heckerman, Michael Shwe
Additive Belief-Network Models, Pages 91-98, Paul Dagum, Adam Galper
Parameter adjustment in Bayes networks. The generalized noisy OR–gate, Pages 99-105, F.J. Díez
A fuzzy relation-based extension of Reggia\'s relational model for diagnosis handling uncertain and incomplete information, Pages 106-113, Didier Dubois, Henri Prade
Dialectic reasoning with inconsistent information, Pages 114-121, Morten Elvang-Gøransson, Paul Krause, John Fox
Causal Independence for Knowledge Acquisition and Inference, Pages 122-127, David Heckerman
Utility-Based Abstraction and Categorization, Pages 128-135, Eric J. Horvitz, Adrian C. Klein
Sensitivity Analysis for Probability Assessments in Bayesian Networks, Pages 136-142, Kathryn Blackmond Laskey
Causal Modeling, Pages 143-151, John F. Lemmer
Some Complexity Considerations in the Combination of Belief Networks, Pages 152-158, Izhar Matzkevich, Bruce Abramson
Deriving a Minimal I-map of a Belief Network Relative to a Target Ordering of its Nodes, Pages 159-165, Izhar Matzkevich, Bruce Abramson
Probabilistic Conceptual Network: A Belief Representation Scheme for Utility-Based Categorization, Pages 166-173, Kim Leng Poh, Michael R. Fehling
Reasoning about the Value of Decision-Model Refinement: Methods and Application, Pages 174-182, Kim Leng Poh, Eric J. Horvitz
Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties, Pages 183-190, William B. Poland, Ross D. Shachter
Valuation Networks and Conditional Independence, Pages 191-199, Prakash P. Shenoy
Relevant Explanations: Allowing Disjunctive Assignments, Pages 200-207, Solomon Eyal Shimony
A Generalization of the Noisy-Or Model, Pages 208-215, Sampath Srinivas
Using First-Order Probability Logic for the Construction of Bayesian Networks, Pages 219-226, Fahiem Bacchus
Representing and Reasoning With Probabilistic Knowledge: A Bayesian Approach, Pages 227-234, Marie des Jardins
Graph-Grammar Assistance for Automated Generation of Influence Diagrams, Pages 235-242, John W. Egar, Mark A. Musen
Using Causal Information and Local Measures to Learn Bayesian Networks, Pages 243-250, Wai Lam, Fahiem Bacchus
Minimal Assumption Distribution Propagation in Belief Networks, Pages 251-258, Ron Musick
An Algorithm for the Construction of Bayesian Network Structures from Data, Pages 259-265, Moninder Singh, Marco Valtorta
A Construction of Bayesian Networks from Databases Based on an MDL Principle, Pages 266-273, Joe Suzuki
Knowledge-Based Decision Model Construction for Hierarchical Diagnosis: A Preliminary Report, Pages 274-281, Soe-Tsyr Yuan
A Synthesis of Logical and Probabilistic Reasoning for Program Understanding and Debugging, Pages 285-291, Lisa J. Burnell, Eric J. Horvitz
An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks, Pages 292-300, Peter Che, Richard E. Neapolitan, James Kenevan, Martha Evens
Incremental Probabilistic Inference, Pages 301-308, Bruce D\'Ambrosio
Deliberation Scheduling for Time-Critical Sequential Decision Making, Pages 309-316, Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann Nicholson
Intercausal Reasoning with Uninstantiated Ancestor Nodes, Pages 317-325, Marek J. Druzdzel, Max Henrion
Inference Algorithms for Similarity Networks, Pages 326-334, Dan Geiger, David Heckerman
Two Procedures for Compiling Influence Diagrams, Pages 335-341, Paul E. Lehner, Azar Sadigh
An efficient approach for finding the MPE in belief networks, Pages 342-349, Zhaoyu Li, Bruce D\'Ambrosio
A Method for Planning Given Uncertain and Incomplete Information, Pages 350-358, Todd Michael Mansell
The use of conflicts in searching Bayesian networks, Pages 359-367, David Poole
GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief Networks, Pages 368-375, Carlos Rojas-Guzmán, Mark A. Kramer
Using Tree-Decomposable Structures to Approximate Belief Networks, Pages 376-382, Sumit Sarkar
Using Potential Influence Diagrams for Probabilistic Inference and Decision Making, Pages 383-390, Ross D. Shachter, Pierre Ndilikilikesha
Deciding Morality of Graphs is NP-complete, Pages 391-399, T.S. Verma, J. Pearl
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams, Pages 400-407, Nevin Zhang Lianwen, Runping Qi, David Poole
Argumentative inference in uncertain and inconsistent knowledge bases, Pages 411-419, Salem Benferhat, Didier Dubois, Henri Prade
Argument Calculus and Networks, Pages 420-427, Adnan Y. Darwiche
Argumentation as a General Framework for Uncertain Reasoning, Pages 428-434, John Fox, Paul Krause, Morten EIvang-Gøransson
On reasoning in networks with qualitative uncertainty, Pages 435-442, Simon Parsons, E.H. Mamdani
Qualitative Measures of Ambiguity, Pages 443-450, S.K.M. Wong, Z.W. Wang
A BAYESIAN VARIANT OF SHAFER\'S COMMONALITIES FOR MODELLING UNFORESEEN EVENTS, Pages 453-460, Robert F. Bordley
The Probability of a Possibility: Adding Uncertainty to Default Rules, Pages 461-468, Craig Boutilier
Possibilistic decreasing persistence, Pages 469-476, Dimiter Driankov, Jérôme Lang
DISCOUNTING AND COMBINATION OPERATIONS IN EVIDENTIAL REASONING, Pages 477-484, J.W. Guan, D.A. Bell
Probabilistic Assumption-Based Reasoning, Pages 485-491, Jürg Kohlas, Paul-André Monney
Partially Specified Belief Functions, Pages 492-499, Serafín Moral, Luis M. de Campos
Jeffrey\'s rule of conditioning generalized to belief functions., Pages 500-505, Philippe SMETS
Inference with Possibilistic Evidence, Pages 506-514, Fengming Song, Ping Liang
Constructing Lower Probabilities, Pages 515-518, Carl Wagner, Bruce Tonn
Belief Revision in Probability Theory, Pages 519-526, Pei Wang
The Assumptions Behind Dempster\'s Rule, Pages 527-534, Nic Wilson
A Belief-Function Based Decision Support System, Pages 535-542, Hong Xu, Yen-Teh Hsia, Philippe Smets
Author Index, Page 553