UAI 1993

66 papers

A Bayesian Variant of Shafer's Commonalities for Modelling Unforeseen Events Robert F. Bordley

A Belief-Function Based Decision Support System Hong Xu, Yen-Teh Hsia, Philippe Smets

A Construction of Bayesian Networks from Databases Based on an MDL Principle Joe Suzuki

A Fuzzy Relation-Based Extension of Reggia's Relational Model for Diagnosis Handling Uncertain and Incomplete Information Didier Dubois, Henri Prade

A Generalization of the Noisy-or Model Sampath Srinivas

A Method for Planning Given Uncertain and Incomplete Information Todd Michael Mansell

A Probabilistic Algorithm for Calculating Structure: Borrowing from Simulated Annealing Russ B. Altman

A Study of Scaling Issues in Bayesian Belief Networks for Ship Classification Scott A. Musman, Liwu Chang

A Synthesis of Logical and Probabilistic Reasoning for Program Understanding and Debugging Lisa J. Burnell

Additive Belief-Network Models Paul Dagum, Adam Galper

An Algorithm for the Construction of Bayesian Network Structures from Data Moninder Singh, Marco Valtorta

An Efficient Approach for Finding the MPE in Belief Networks Zhaoyu Li, Bruce D'Ambrosio

An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens

Argument Calculus and Networks Adnan Darwiche

Argumentation as a General Framework for Uncertain Reasoning John Fox, Paul J. Krause, Morten Elvang-Gøransson

Argumentative Inference in Uncertain and Inconsistent Knowledge Bases Salem Benferhat, Didier Dubois, Henri Prade

Belief Revision in Probability Theory Pei Wang

Causal Independence for Knowledge Acquisition and Inference David Heckerman

Causal Modeling John F. Lemmer

Causality in Bayesian Belief Networks Marek J. Druzdzel, Herbert A. Simon

Constructing Lower Probabilities Carl G. Wagner, Bruce Tonn

Deciding Morality of Graphs Is NP-Complete Thomas Verma, Judea Pearl

Deliberation Scheduling for Time-Critical Sequential Decision Making Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Deriving a Minimal itI-mAP of a Belief Network Relative to a Target Ordering of Its Nodes Izhar Matzkevich, Bruce Abramson

Diagnosis of Multiple Faults: A Sensitivity Analysis David Heckerman, Michael Shwe

Dialectic Reasoning with Inconsistent Information Morten Elvang-Gøransson, Paul J. Krause, John Fox

Discounting and Combination Operations in Evidential Reasoning J. W. Guan, David A. Bell

End-User Construction of Influence Diagrams for Bayesian Statistics Harold P. Lehmann, Ross D. Shachter

Forecasting Sleep Apnea with Dynamic Network Models Paul Dagum, Adam Galper

From Conditional Oughts to Qualitative Decision Theory Judea Pearl

GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief Networks Carlos Rojas-Guzmán, Mark A. Kramer

Graph-Grammar Assistance for Automated Generation of Influence Diagrams John W. Egar, Mark A. Musen

Incremental Computation of the Value of Perfect Information in Stepwise-Decomposable Influence Diagrams Nevin Lianwen Zhang, Runping Qi, David L. Poole

Incremental Probabilistic Inference Bruce D'Ambrosio

Inference Algorithms for Similarity Networks Dan Geiger, David Heckerman

Inference with Possibilistic Evidence Fengming Song, Ping Liang

Intercausal Reasoning with Uninstantiated Ancestor Nodes Marek J. Druzdzel, Max Henrion

Jeffrey's Rule of Conditioning Generalized to Belief Functions Philippe Smets

Knowledge-Based Decision Model Construction for the Hierarchical Diagnosis: A Preliminary Report Soe-Tsyr Yuan

Minimal Assumption Distribution Propagation in Belief Networks Ron Musick

Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties William B. Poland, Ross D. Shachter

Normative Engineering Risk Management Systems Peter J. Regan

On Considering Uncertainty and Alternatives in Low-Level Vision Steven M. LaValle, Seth Hutchinson

On Reasoning in Networks with Qualitative Uncertainty Simon Parsons, E. H. Mamdani

Parameter Adjustment in Bayes Networks. the Generalized Noisy OR-Gate Francisco Javier Díez

Partially Specified Belief Functions Serafín Moral, Luis M. de Campos

Possibilistic Decreasing Persistence Dimiter Driankov, Jérôme Lang

Probabilistic Assumption-Based Reasoning Jürg Kohlas, Paul-André Monney

Probabilistic Conceptual Network: A Belief Representation Scheme for Utility-Based Categorization Kim-Leng Poh, Michael R. Fehling

Qualitative Measures of Ambiguity S. K. Michael Wong, Zhiwei Wang

Reasoning About the Value of Decision-Model Refinement: Methods and Application Kim-Leng Poh, Eric Horvitz

Relevant Explanations: Allowing Disjunctive Assignments Solomon Eyal Shimony

Representing and Reasoning with Probabilistic Knowledge: A Bayesian Approach Marie desJardins

Sensitivity Analysis for Probability Assessments in Bayesian Networks Kathryn B. Laskey

Some Complexity Considerations in the Combination of Belief Networks Izhar Matzkevich, Bruce Abramson

The Assumptions Behind Dempster's Rule Nic Wilson

The Probability of a Possibility: Adding Uncertainty to Default Rules Craig Boutilier

The Use of Conflicts in Searching Bayesian Networks David Poole

Tradeoffs in Constructing and Evaluating Temporal Influence Diagrams Gregory M. Provan

Two Procedures for Compiling Influence Diagrams Paul E. Lehner, Azar Sadigh

Using Causal Information and Local Measures to Learn Bayesian Networks Wai Lam, Fahiem Bacchus

Using First-Order Probability Logic for the Construction of Bayesian Networks Fahiem Bacchus

Using Potential Influence Diagrams for Probabilistic Inference and Decision Making Ross D. Shachter, Pierre Ndilikilikesha

Using Tree-Decomposable Structures to Approximate Belief Networks Sumit Sarkar

Utility-Based Abstraction and Categorization Eric Horvitz, Adrian C. Klein

Valuation Networks and Conditional Independence Prakash P. Shenoy