Uncertainty in Artificial Intelligence
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Proceedings of the Twelfth Conference Conference on Uncertainty in Artificial Intelligence ( 1996 )
Aug 1- 4 1996, Portland, OR

Edited By:
Eric Horvitz, Finn Jensen
Published By: Morgan Kaufmann, San Francisco, CA
ISBN: 1-55860-412-X

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

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