 |
A Discovery Algorithm for Directed Cyclis Graphs |
|
Thomas Richardson
|
|
A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility |
|
David Poole
|
|
A Graph-Theoretic Analysis of Information Value |
|
Kim-Leng Poh
, Eric Horvitz
|
|
A Measure of Decision Flexibility |
|
Ross Shachter
, Marvin Mandelbaum
|
|
A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models |
|
Thomas Richardson
|
|
A Probabilistic Model For Sensor Validation |
|
Pablo Ibarguengoytia
, Luis Sucar
, Sunil Vadera
|
|
A Qualitative Markov Assumption and its Implications for Belief Change |
|
Nir Friedman
, Joseph Halpern
|
|
A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques |
|
Constantin Aliferis
, Gregory Cooper
|
|
A Sufficiently Fast Algorithm for Finding Close to Optimal Junction Trees |
|
Ann Becker
, Dan Geiger
|
|
An Algorithm for Finding Minimum d-Separating Sets in Belief Networks |
|
Silvia Acid
, Luis de Campos
|
|
An Alternative Markov Property for Chain Graphs |
|
Steen Andersson
, David Madigan
, Michael Perlman
|
|
An Evaluation of Structural Parameters for Probabilistic Reasoning: Results on Benchmark Circuits |
|
Yousri Fattah
, Rina Dechter
|
|
Approximations for Decision Making in the Dempster-Shafer Theory of Evidence |
|
Mathias Bauer
|
|
Arguing for Decisions: A Qualitative Model of Decision Making |
|
Blai Bonet
, Hector Geffner
|
|
Asymptotic Model Selection for Directed Networks with Hidden Variables |
|
Dan Geiger
, David Heckerman
, Christopher Meek
|
|
Bayesian Learning of Loglinear Models for Neural Connectivity |
|
Kathryn Laskey
, Laura Martignon
|
|
Belief Revision with Uncertain Inputs in the Possibilistic Setting |
|
Didier Dubois
, Henri Prade
|
|
Binary Join Trees |
|
Prakash Shenoy
|
|
Bucket Elimination: A Unifying Framework for Several Probabilistic Inference |
|
Rina Dechter
|
|
Coherent Knowledge Processing at Maximum Entropy by SPIRIT |
|
Wilhelm Roedder
, Carl-Heinz Meyer
|
|
Computational Complexity Reduction for BN2O Networks Using Similarity of States |
|
Alexander Kozlov
, Jaswinder Singh
|
|
Computing Upper and Lower Bounds on Likelihoods in Intractable Networks |
|
Tommi Jaakkola
, Michael Jordan
|
|
Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response |
|
John Agosta
|
|
Context-Specific Independence in Bayesian Networks |
|
Craig Boutilier
, Nir Friedman
, Moises Goldszmidt
, Daphne Koller
|
|
Coping with the Limitations of Rational Inference in the Framework of Possibility Theory |
|
Salem Benferhat
, Didier Dubois
, Henri Prade
|
|
Critical Remarks on Single Link Search in Learning Belief Networks |
|
Yang Xiang
, Michael Wong
, N. Cercone
|
|
Decision-Analytic Approaches to Operational Decision Making: Application and Observation |
|
Tom Chavez
|
|
Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment |
|
John Breese
, David Heckerman
|
|
Defining Relative Likelihood in Partially-Ordered Preferential Structures |
|
Joseph Halpern
|
|
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network |
|
David Chickering
, David Heckerman
|
|
Efficient Enumeration of Instantiations in Bayesian Networks |
|
Sampath Srinivas
, Pandurang Nayak
|
|
Efficient Search-Based Inference for Noisy-OR Belief Networks: TopEpsilon |
|
Kurt Huang
, Max Henrion
|
|
Entailment in Probability of Thresholded Generalizations |
|
Donald Bamber
|
|
Flexible Policy Construction by Information Refinement |
|
Michael Horsch
, David Poole
|
|
Generalized Qualitative Probability: Savage Revisited |
|
Daniel Lehmann
|
|
Geometric Implications of the Naive Bayes Assumption |
|
Mark Peot
|
|
Identifying Independencies in Causal Graphs with Feedback |
|
Judea Pearl
, Rina Dechter
|
|
Independence with Lower and Upper Probabilities |
|
Lonnie Chrisman
|
|
Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks |
|
Satnam Alag
, Alice Agogino
|
|
Learning Bayesian Networks with Local Structure |
|
Nir Friedman
, Moises Goldszmidt
|
|
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates |
|
Craig Boutilier
|
|
Learning Equivalence Classes of Bayesian Networks Structures |
|
David Chickering
|
|
MIDAS - An Influence Diagram for Management of Mildew in Winter Wheat |
|
Allan Jensen
, Finn Jensen
|
|
Network Engineering for Complex Belief Networks |
|
Suzanne Mahoney
, Kathryn Laskey
|
|
Object Recognition with Imperfect Perception and Redundant Description |
|
Claude Barrouil
, Jerome Lemaire
|
|
On Separation Criterion and Recovery Algorithm for Chain Graphs |
|
Milan Studeny
|
|
On the Sample Complexity of Learning Bayesian Networks |
|
Nir Friedman
, Zohar Yakhini
|
|
Optimal Factory Scheduling using Stochastic Dominance A* |
|
Peter Wurman
, Michael Wellman
|
|
Optimal Monte Carlo Estimation of Belief Network Inference |
|
Malcolm Pradhan
, Paul Dagum
|
|
Plan Development using Local Probabilistic Models |
|
Ella Atkins
, Edmund Durfee
, Kang Shin
|
|
Possible World Partition Sequences: A Unifying Framework for Uncertain Reasoning |
|
Choh Teng
|
|
Probabilistic Disjunctive Logic Programming |
|
Liem Ngo
|
|
Propagation of 2-Monotone Lower Probabilities on an Undirected Graph |
|
Lonnie Chrisman
|
|
Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem |
|
Fabio Cozman
, Eric Krotkov
|
|
Query DAGs: A Practical Paradigm for Implementing Belief Network Inference |
|
Adnan Darwiche
, Gregory Provan
|
|
Real Time Estimation of Bayesian Networks |
|
Robert Welch
|
|
Sample-and-Accumulate Algorithms for Belief Updating in Bayes Networks |
|
Eugene Santos Jr.
, Solomon Shimony
, Edward Williams
|
|
Some Experiments with Real-Time Decision Algorithms |
|
Bruce D'Ambrosio
, Scott Burgess
|
|
Sound Abstraction of Probabilistic Actions in The Constraint Mass Assignment Framework |
|
AnHai Doan
, Peter Haddawy
|
|
Supply Restoration in Power Distribution Systems - A Case Study in Integrating Model-Based Diagnosis and Repair Planning |
|
Sylvie Thiebaux
, Marie-Odile Cordier
, Olivier Jehl
, Jean-Paul Krivine
|
|
Tail Sensitivity Analysis in Bayesian Networks |
|
Enrique Castillo
, Cristina Solares
, Patricia Gomez
|
|
Testing Implication of Probabilistic Dependencies |
|
Michael Wong
|
|
Theoretical Foundations for Abstraction-Based Probabilistic Planning |
|
Vu Ha
, Peter Haddawy
|
|
Topological Parameters for Time-Space Tradeoff |
|
Rina Dechter
|
|
Toward a Market Model for Bayesian Inference |
|
David Pennock
, Michael Wellman
|
|
Uncertain Inferences and Uncertain Conclusions |
|
Henry Kyburg Jr.
|
|
Why Is Diagnosis Using Belief Networks Insensitive to Imprecision In Probabilities? |
|
Max Henrion
, Malcolm Pradhan
, Brendan del Favero
, Kurt Huang
, Gregory Provan
, Paul O'Rorke
|
