UAI 1996

67 papers

A Discovery Algorithm for Directed Cyclic 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 D. Shachter, Marvin Mandelbaum

A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models Thomas Richardson

A Probabilistic Model for Sensor Validation Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera

A Qualitative Markov Assumption and Its Implications for Belief Change Nir Friedman, Joseph Y. Halpern

A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques Constantin F. Aliferis, Gregory F. 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 M. de Campos

An Alternative Markov Property for Chain Graphs Steen A. Andersson, David Madigan, Michael D. Perlman

An Evaluation of Structural Parameters for Probabilistic Reasoning: Results on Benchmark Circuits Yousri El 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 B. Laskey, Laura Martignon

Belief Revision with Uncertain Inputs in the Possibilistic Setting Didier Dubois, Henri Prade

Binary Join Trees Prakash P. Shenoy

Bucket Elimination: A Unifying Framework for Probabilistic Inference Rina Dechter

Coherent Knowledge Processing at Maximum Entropy by SPIRIT Wilhelm Rödder, Carl-Heinz Meyer

Computational Complexity Reduction for BN2O Networks Using Similarity of States Alexander V. Kozlov, Jaswinder Pal Singh

Computing Upper and Lower Bounds on Likelihoods in Intractable Networks Tommi S. Jaakkola, Michael I. Jordan

Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response John Mark Agosta

Context-Specific Independence in Bayesian Networks Craig Boutilier, Nir Friedman, Moisés 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, S. K. Michael Wong, Nick Cercone

Decision-Analytic Approaches to Operational Decision Making: Application and Observation Tom Chávez

Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment John S. Breese, David Heckerman

Defining Relative Likelihood in Partially-Ordered Preferential Structures Joseph Y. Halpern

Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network David Maxwell Chickering, David Heckerman

Efficient Enumeration of Instantiations in Bayesian Networks Sampath Srinivas, P. 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 C. Horsch, David L. Poole

Generalized Qualitative Probability: Savage Revisited Daniel Lehmann

Geometric Implications of the Naive Bayes Assumption Mark A. 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 M. Agogino

Learning Bayesian Networks with Local Structure Nir Friedman, Moisés Goldszmidt

Learning Conventions in Multiagent Stochastic Domains Using Likelihood Estimates Craig Boutilier

Learning Equivalence Classes of Bayesian Network Structures David Maxwell Chickering

MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat Allan Leck Jensen, Finn Verner Jensen

Network Engineering for Complex Belief Networks Suzanne M. Mahoney, Kathryn B. Laskey

Object Recognition with Imperfect Perception and Redundant Description Claude Barrouil, Jerome Lemaire

On Separation Criterion and Recovery Algorithm for Chain Graphs Milan Studený

On the Sample Complexity of Learning Bayesian Networks Nir Friedman, Zohar Yakhini

Optimal Factory Scheduling Using Stochastic Dominance A* Peter R. Wurman, Michael P. Wellman

Optimal Monte Carlo Estimation of Belief Network Inference Malcolm Pradhan, Paul Dagum

Plan Development Using Local Probabilistic Models Ella M. Atkins, Edmund H. Durfee, Kang G. Shin

Possible World Partition Sequences: A Unifying Framework for Uncertain Reasoning Choh Man 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 Fábio Gagliardi Cozman, Eric Krotkov

Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference Adnan Darwiche, Gregory M. Provan

Real Time Estimation of Bayesian Networks Robert L. Welch

Sample-and-Accumulate Algorithms for Belief Updating in Bayes Networks Eugene Santos Jr., Solomon Eyal Shimony, Edward Michael 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 Thiébaux, Marie-Odile Cordier, Olivier Jehl, Jean-Paul Krivine

Tail Sensitivity Analysis in Bayesian Networks Enrique F. Castillo, Cristina Solares, Patricia Gómez

Testing Implication of Probabilistic Dependencies S. K. Michael Wong

Theoretical Foundations for Abstraction-Based Probabilistic Planning Vu A. Ha, Peter Haddawy

Topological Parameters for Time-Space Tradeoff Rina Dechter

Toward a Market Model for Bayesian Inference David M. Pennock, Michael P. Wellman

Uncertain Inferences and Uncertain Conclusions Henry E. Kyburg Jr.

Why Is Diagnosis Using Belief Networks Insensitive to Imprecision in Probabilities? Max Henrion, Malcolm Pradhan, Brendan Del Favero, Kurt Huang, Gregory M. Provan, Paul O'Rorke