UAI 1994

77 papers

A Bayesian Method Reexamined Derek D. Ayers

A Decision-Based View of Causality David Heckerman, Ross D. Shachter

A Defect in Dempster-Shafer Theory Pei Wang

A Logic for Default Reasoning About Probabilities Manfred Jaeger

A New Look at Causal Independence David Heckerman, John S. Breese

A Probabilistic Approach to Hierarchical Model-Based Diagnosis Sampath Srinivas

A Probabilistic Calculus of Actions Judea Pearl

A Probablistic Model of Action for Least-Commitment Planning with Information Gathering Denise Draper, Steve Hanks, Daniel S. Weld

A Stratified Simulation Scheme for Inference in Bayesian Belief Networks Remco R. Bouckaert

A Structured, Probabilistic Representation of Action Ron Davidson, Michael R. Fehling

Abstracting Probabilistic Actions Peter Haddawy, AnHai Doan

Action Networks: A Framework for Reasoning About Actions and Change Under Uncertainty Adnan Darwiche, Moisés Goldszmidt

An Alternative Proof Method for Possibilistic Logic and Its Application to Terminological Logics Bernhard Hollunder

An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets Constantin F. Aliferis, Gregory F. Cooper

An Experimental Comparison of Numerical and Qualitative Probabilistic Reasoning Max Henrion, Gregory M. Provan, Brendan Del Favero, Gillian Sanders

An Ordinal View of Independence with Application to Plausible Reasoning Didier Dubois, Luis Fariñas del Cerro, Andreas Herzig, Henri Prade

Anytime Decision Making with Imprecise Probabilities Michael Pittarelli

Approximation Algorithms for the Loop Cutset Problem Ann Becker, Dan Geiger

Backward Simulation in Bayesian Networks Robert M. Fung, Brendan Del Favero

Belief Induced by the Partial Knowledge of the Probabilities Philippe Smets

Belief Maintenance in Bayesian Networks Marco Ramoni, Alberto Riva

Belief Updating by Enumerating High-Probability Independence-Based Assignments Eugene Santos Jr., Solomon Eyal Shimony

Conditional Independence in Possibility Theory Pascale Fonck

Constructing Belief Networks to Evaluate Plans Paul E. Lehner, Chris Elsaesser, Scott A. Musman

Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke, Judea Pearl

Efficient Estimation of the Value of Information in Monte Carlo Models Tom Chávez, Max Henrion

Ending-Based Strategies for Part-of-Speech Tagging Greg Adams, Beth Millar, Eric Neufeld, Tim Philip

Epsilon-Safe Planning Robert P. Goldman, Mark S. Boddy

Evidential Reasoning with Conditional Belief Functions Hong Xu, Philippe Smets

Exceptional Subclasses in Qualitative Probability Sek-Wah Tan

Exploratory Model Building Raj Bhatnagar

From Influence Diagrams to Junction Trees Frank Jensen, Finn Verner Jensen, Søren L. Dittmer

Fuzzy Geometric Relations to Represent Hierarchical Spatial Information Stephane Lapointe, René Proulx

General Belief Measures Emil Weydert

Generating Bayesian Networks from Probablity Logic Knowledge Bases Peter Haddawy

Generating Graphoids from Generalised Conditional Probability Nic Wilson

Generating New Beliefs from Old Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Global Conditioning for Probabilistic Inference in Belief Networks Ross D. Shachter, Stig K. Andersen, Peter Szolovits

Ignorance and the Expressiveness of Single- and Set-Valued Probability Models of Belief Paul Snow

Incremental Dynamic Construction of Layered Polytree Networks Keung-Chi Ng, Tod S. Levitt

Induction of Selective Bayesian Classifiers Pat Langley, Stephanie Sage

Integrating Planning and Execution in Stochastic Domains Richard Dearden, Craig Boutilier

Intercausal Independence and Heterogeneous Factorization Nevin Lianwen Zhang, David L. Poole

Knowledge Engineering for Large Belief Networks Malcolm Pradhan, Gregory M. Provan, Blackford Middleton, Max Henrion

Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables Adriano Azevedo-Filho, Ross D. Shachter

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman, Dan Geiger, David Maxwell Chickering

Learning Gaussian Networks Dan Geiger, David Heckerman

Learning in Multi-Level Stochastic Games with Delayed Information Edward A. Billard

Localized Partial Evaluation of Belief Networks Denise Draper, Steve Hanks

Model-Based Diagnosis with Qualitative Temporal Uncertainty Wolfgang Nejdl, Johann Gamper

Models of Consensus for Multiple Agent Systems Daniel E. O'Leary

Modus Ponens Generating Function in the Class of \Lambda-Valuations of Plausibility Ildar Z. Batyrshin

On Axiomatization of Probabilistic Conditional Independencies S. K. Michael Wong, Zhiwei Wang

On Modal Logics for Qualitative Possibility in a Fuzzy Setting Petr Hájek, Dagmar Harmancová, Francesc Esteva, Pere Garcia, Lluís Godo

On Testing Whether an Embedded Bayesian Network Represents a Probability Model Dan Geiger, Azaria Paz, Judea Pearl

On the Relation Between Kappa Calculus and Probabilistic Reasoning Adnan Darwiche, Moisés Goldszmidt

Operator Selection While Planning Under Uncertainty Todd Michael Mansell, Grahame B. Smith

Optimal Junction Trees Finn Verner Jensen, Frank Jensen

Penalty Logic and Its Link with Dempster-Shafer Theory Florence Dupin de Saint-Cyr, Jérôme Lang, Thomas Schiex

Planning with External Events Jim Blythe

Possibilistic Conditioning and Propagation Yen-Teh Hsia

Possibility and Necessity Functions over Non-Classical Logics Philippe Besnard, Jérôme Lang

Probabilistic Constraint Satisfaction with Non-Gaussian Noise Russ B. Altman, Cheng Che Chen, William B. Poland, Jaswinder Pal Singh

Probabilistic Description Logics Jochen Heinsohn

Properties of Bayesian Belief Network Learning Algorithms Remco R. Bouckaert

Reduction of Computational Complexity in Bayesian Networks Through Removal of Weak Dependences Uffe Kjærulff

Robust Planning in Uncertain Environments Stephen G. Pimentel, Lawrence M. Brem

Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models Milan Studený

Solving Asymmetric Decision Problems with Influence Diagrams Runping Qi, Nevin Lianwen Zhang, David L. Poole

Some Properties of Joint Probability Distributions Marek J. Druzdzel

State-Space Abstraction for Anytime Evaluation of Probabilistic Networks Michael P. Wellman, Chao-Lin Liu

Symbolic Probabilistic Inference in Large BN20 Networks Bruce D'Ambrosio

Syntax-Based Default Reasoning as Probabilistic Model-Based Diagnosis Jérôme Lang

The Automated Mapping of Plans for Plan Recognition Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman

Three Approaches to Probability Model Selection William B. Poland, Ross D. Shachter

Using New Data to Refine a Bayesian Network Wai Lam, Fahiem Bacchus

Value of Evidence on Influence Diagrams Kazuo J. Ezawa