 |
A Bayesian Method Reexamined |
|
Derek Ayers
|
|
A Decision-Based View of Causality |
|
David Heckerman
, Ross 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 Breese
|
|
A Probabilistic Approach to Hierarchical Model-based Diagnosis |
|
Sampath Srinivas
|
|
A Probabilistic Calculus of Actions |
|
Judea Pearl
|
|
A Probabilistic Model of Action for Least-Commitment Planning with Information Gather |
|
Denise Draper
, Steve Hanks
, Daniel Weld
|
|
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks |
|
Remco Bouckaert
|
|
A Structured, Probabilistic Representation of Action |
|
Ron Davidson
, Michael Fehling
|
|
Abstracting Probabilistic Actions |
|
Peter Haddawy
, AnHai Doan
|
|
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty |
|
Adnan Darwiche
, Moises 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 Usin |
|
Constantin Aliferis
, Gregory Cooper
|
|
An Experimental Comparison of Numerical and Qualitative Probabilistic Reasoning |
|
Max Henrion
, Gregory Provan
, Brendan del Favero
, Gillian Sanders
|
|
An Ordinal View of Independence with Application to Plausible Reasoning |
|
Didier Dubois
, Luis Farinas 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 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 Shimony
|
|
Conditional Independence in Possibility Theory |
|
Pascale Fonck
|
|
Constructing Belief Networks to Evaluate Plans |
|
Paul Lehner
, Christopher Elsaesser
, Scott Musman
|
|
Counterfactual Probabilities: Computational Methods, Bounds and Applications |
|
Alexander Balke
, Judea Pearl
|
|
Efficient Estimation of the Value of Information in Monte Carlo Models |
|
Tom Chavez
, Max Henrion
|
|
Ending-based Strategies for Part-of-speech Tagging |
|
Greg Adams
, Beth Millar
, Eric Neufeld
, Tim Philip
|
|
Epsilon-Safe Planning |
|
Robert Goldman
, Mark 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 Jensen
, Soren Dittmer
|
|
Fuzzy Geometric Relations to Represent Hierarchical Spatial Information |
|
Stephane Lapointe
, Rene Proulx
|
|
General Belief Measures |
|
Emil Weydert
|
|
Generating Bayesian Networks from Probability Logic Knowledge Bases |
|
Peter Haddawy
|
|
Generating Graphoids from Generalised Conditional Probability |
|
Nic Wilson
|
|
Generating New Beliefs From Old |
|
Fahiem Bacchus
, Adam Grove
, Joseph Halpern
, Daphne Koller
|
|
Global Conditioning for Probabilistic Inference in Belief Networks |
|
Ross Shachter
, Stig 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 Levitt
|
|
Induction of Selective Bayesian Classifiers |
|
Pat Langley
, Stephanie Sage
|
|
Integrating Planning and Execution in Stochastic Domains |
|
Richard Dearden
, Craig Boutilier
|
|
Inter-causal Independence and Heterogeneous Factorization |
|
Nevin Zhang
, David Poole
|
|
Knowledge Engineering for Large Belief Networks |
|
Malcolm Pradhan
, Gregory Provan
, Blackford Middleton
, Max Henrion
|
|
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables |
|
Adriano Azevedo-Filho
, Ross Shachter
|
|
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data |
|
David Heckerman
, Dan Geiger
, David Chickering
|
|
Learning Gaussian Networks |
|
Dan Geiger
, David Heckerman
|
|
Learning in Multi-level Stochastic games with Delayed Information |
|
Edward 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 O'Leary
|
|
Modus Ponens Generating Function in the Class of ^-valuations of Plausibility |
|
Ildar Batyrshin
|
|
On Axiomatization of Probabilistic Conditional Independencies |
|
Michael Wong
, Z. Wang
|
|
On Modal Logics for Qualitative Possibility in a Fuzzy Setting |
|
Petr Hajek
, Dagmar Harmancová
, Francesc Esteva
, Pere Garcia
, Lluis 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
, Moises Goldszmidt
|
|
Operator Selection While Planning Under Uncertainty |
|
Todd Mansell
, Grahame Smith
|
|
Optimal Junction Trees |
|
Finn Jensen
, Frank Jensen
|
|
Penalty logic and its Link with Dempster-Shafer Theory |
|
Florence Dupin de Saint-Cyr
, Jerome 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
, Jerome Lang
|
|
Probabilistic Constraint Satisfaction with Non-Gaussian Noise |
|
Russ Altman
, Cheng Chen
, William Poland
, Jaswinder Singh
|
|
Probabilistic Description Logics |
|
Jochen Heinsohn
|
|
Properties of Bayesian Belief Network Learning Algorithms |
|
Remco Bouckaert
|
|
Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependencies |
|
Uffe Kjærulff
|
|
Robust Planning in Uncertain Environments |
|
Stephen Pimentel
, Lawrence Brem
|
|
Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models |
|
Milan Studeny
|
|
Solving Asymmetric Decision Problems with Influence Diagrams |
|
Runping Qi
, Nevin Zhang
, David Poole
|
|
Some Properties of Joint Probability Distributions |
|
Marek Druzdzel
|
|
State-space Abstraction for Anytime Evaluation of Probabilistic Networks |
|
Michael Wellman
, Chao-Lin Liu
|
|
Symbolic Probabilitistic Inference in Large BN2O Networks |
|
Bruce D'Ambrosio
|
|
Syntax-based Default Reasoning as Probabilistic Model-based Diagnosis |
|
Jerome Lang
|
|
The Automated Mapping of Plans for Plan Recognition |
|
Marcus Huber
, Edmund Durfee
, Michael Wellman
|
|
Three Approaches to Probability Model Selection |
|
William Poland
, Ross Shachter
|
|
Using New Data to Refine a Bayesian Network |
|
Wai Lam
, Fahiem Bacchus
|
|
Value of Evidence on Influence Diagrams |
|
Kazuo Ezawa
|
