12. UAI 1996:
Portland,
Oregon,
USA
Eric Horvitz, Finn Verner Jensen (Eds.):
UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, August 1-4, 1996, Reed College, Portland, Oregon, USA.
Morgan Kaufmann 1996 BibTeX
@proceedings{DBLP:conf/uai/1996,
editor = {Eric Horvitz and
Finn Verner Jensen},
title = {UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty
in Artificial Intelligence, August 1-4, 1996, Reed College, Portland,
Oregon, USA},
booktitle = {UAI},
publisher = {Morgan Kaufmann},
year = {1996},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Silvia Acid, Luis M. de Campos:
An Algorithm for Finding Minimum d-Separating Sets in Belief Networks.
3-10
Electronic Edition (link) BibTeX
- John Mark Agosta:
Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response.
11-19
Electronic Edition (link) BibTeX
- Satnam Alag, Alice M. Agogino:
Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks.
20-27
Electronic Edition (link) BibTeX
- Constantin F. Aliferis, Gregory F. Cooper:
A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques.
28-39
Electronic Edition (link) BibTeX
- Steen A. Andersson, David Madigan, Michael D. Perlman:
An Alternative Markov Property for Chain Graphs.
40-48
Electronic Edition (link) BibTeX
- Ella M. Atkins, Edmund H. Durfee, Kang G. Shin:
Plan Development using Local Probabilistic Models.
49-56
Electronic Edition (link) BibTeX
- Donald Bamber:
Entailment in Probability of Thresholded Generalizations.
57-64
Electronic Edition (link) BibTeX
- Claude Barrouil, Jerome Lemaire:
Object Recognition with Imperfect Perception and Redundant Description.
65-72
Electronic Edition (link) BibTeX
- Mathias Bauer:
Approximations for Decision Making in the Dempster-Shafer Theory of Evidence.
73-80
Electronic Edition (link) BibTeX
- Ann Becker, Dan Geiger:
A sufficiently fast algorithm for finding close to optimal junction trees.
81-89
Electronic Edition (link) BibTeX
- Salem Benferhat, Didier Dubois, Henri Prade:
Coping with the Limitations of Rational Inference in the Framework of Possibility Theory.
90-97
Electronic Edition (link) BibTeX
- Blai Bonet, Hector Geffner:
Arguing for Decisions: A Qualitative Model of Decision Making.
98-105
Electronic Edition (link) BibTeX
- Craig Boutilier:
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates.
106-114
Electronic Edition (link) BibTeX
- Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller:
Context-Specific Independence in Bayesian Networks.
115-123
Electronic Edition (link) BibTeX
- John S. Breese, David Heckerman:
Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment.
124-132
Electronic Edition (link) BibTeX
- Enrique Castillo, Cristina Solares, Patricia Gómez:
Tail Sensitivity Analysis in Bayesian Networks.
133-140
Electronic Edition (link) BibTeX
- Tom Chávez:
Decision-Analytic Approaches to Operational Decision Making: Application and Observation.
141-149
Electronic Edition (link) BibTeX
- David Maxwell Chickering:
Learning Equivalence Classes of Bayesian Network Structures.
150-157
Electronic Edition (link) BibTeX
- David Maxwell Chickering, David Heckerman:
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network.
158-168
Electronic Edition (link) BibTeX
- Lonnie Chrisman:
Independence with Lower and Upper Probabilities.
169-177
Electronic Edition (link) BibTeX
- Lonnie Chrisman:
Propagation of 2-Monotone Lower Probabilities on an Undirected Graph.
178-185
Electronic Edition (link) BibTeX
- Fabio Gagliardi Cozman, Eric Krotkov:
Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem.
186-193
Electronic Edition (link) BibTeX
- Bruce D'Ambrosio, Scott Burgess:
Some Experiments with Real-time Decision Algorithms.
194-202
Electronic Edition (link) BibTeX
- Adnan Darwiche, Gregory M. Provan:
Query DAGs: A practical paradigm for implementing belief-network inference.
203-210
Electronic Edition (link) BibTeX
- Rina Dechter:
Bucket elimination: A unifying framework for probabilistic inference.
211-219
Electronic Edition (link) BibTeX
- Rina Dechter:
Topological parameters for time-space tradeoff.
220-227
Electronic Edition (link) BibTeX
- AnHai Doan, Peter Haddawy:
Sound Abstraction of Probabilistic Actions in The Constraint Mass Assignment Framework.
228-235
Electronic Edition (link) BibTeX
- Didier Dubois, Henri Prade:
Belief Revision with Uncertain Inputs in the Possibilistic Setting.
236-243
Electronic Edition (link) BibTeX
- Yousri El Fattah, Rina Dechter:
An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits.
244-251
Electronic Edition (link) BibTeX
- Nir Friedman, Moisés Goldszmidt:
Learning Bayesian Networks with Local Structure.
252-262
Electronic Edition (link) BibTeX
- Nir Friedman, Joseph Y. Halpern:
A Qualitative Markov Assumption and Its Implications for Belief Change.
263-273
Electronic Edition (link) BibTeX
- Nir Friedman, Zohar Yakhini:
On the Sample Complexity of Learning Bayesian Networks.
274-282
Electronic Edition (link) BibTeX
- Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables.
283-290
Electronic Edition (link) BibTeX
- Vu A. Ha, Peter Haddawy:
Theoretical Foundations for Abstraction-Based Probabilistic Planning.
291-298
Electronic Edition (link) BibTeX
- Joseph Y. Halpern:
Defining Relative Likelihood in Partially-Ordered Preferential Structures.
299-306
Electronic Edition (link) BibTeX
- Max Henrion, Malcolm Pradhan, Brendan Del Favero, Kurt Huang, Gregory M. Provan, Paul O'Rorke:
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
307-314
Electronic Edition (link) BibTeX
- Michael C. Horsch, David Poole:
Flexible Policy Construction by Information Refinement.
315-324
Electronic Edition (link) BibTeX
- Kurt Huang, Max Henrion:
Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon.
325-331
Electronic Edition (link) BibTeX
- Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
A Probabilistic Model for Sensor Validation.
332-339
Electronic Edition (link) BibTeX
- Tommi Jaakkola, Michael I. Jordan:
Computing upper and lower bounds on likelihoods in intractable networks.
340-348
Electronic Edition (link) BibTeX
- Allan Leck Jensen, Finn Verner Jensen:
MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat.
349-356
Electronic Edition (link) BibTeX
- Alexander V. Kozlov, Jaswinder Pal Singh:
Computational complexity reduction for BN2O networks using similarity of states.
357-364
Electronic Edition (link) BibTeX
- Henry E. Kyburg Jr.:
Uncertain Inferences and Uncertain Conclusions.
365-372
Electronic Edition (link) BibTeX
- Kathryn B. Laskey, Laura Martignon:
Bayesian Learning of Loglinear Models for Neural Connectivity.
373-380
Electronic Edition (link) BibTeX
- Daniel J. Lehmann:
Generalized Qualitative Probability: Savage revisited.
381-388
Electronic Edition (link) BibTeX
- Suzanne M. Mahoney, Kathryn B. Laskey:
Network Engineering for Complex Belief Networks.
389-396
Electronic Edition (link) BibTeX
- Liem Ngo:
Probabilistic Disjunctive Logic Programming.
397-404
Electronic Edition (link) BibTeX
- David M. Pennock, Michael P. Wellman:
Toward a Market Model for Bayesian Inference.
405-413
Electronic Edition (link) BibTeX
- Mark A. Peot:
Geometric Implications of the Naive Bayes Assumption.
414-419
Electronic Edition (link) BibTeX
- Judea Pearl, Rina Dechter:
Identifying Independencies in Causal Graphs with Feedback.
420-426
Electronic Edition (link) BibTeX
- Kim-Leng Poh, Eric Horvitz:
A Graph-Theoretic Analysis of Information Value.
427-435
Electronic Edition (link) BibTeX
- David Poole:
A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility.
436-445
Electronic Edition (link) BibTeX
- Malcolm Pradhan, Paul Dagum:
Optimal Monte Carlo Estimation of Belief Network Inference.
446-453
Electronic Edition (link) BibTeX
- Thomas Richardson:
A Discovery Algorithm for Directed Cyclic Graphs.
454-461
Electronic Edition (link) BibTeX
- Thomas Richardson:
A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models.
462-469
Electronic Edition (link) BibTeX
- Wilhelm Rödder, Carl-Heinz Meyer:
Coherent Knowledge Processing at Maximum Entropy by SPIRIT.
470-476
Electronic Edition (link) BibTeX
- Eugene Santos Jr., Solomon Eyal Shimony, Edward Michael Williams:
Sample-and-Accumulate Algorithms for Belief Updating in Bayes Networks.
477-484
Electronic Edition (link) BibTeX
- Ross D. Shachter, Marvin Mandelbaum:
A Measure of Decision Flexibility.
485-491
Electronic Edition (link) BibTeX
- Prakash P. Shenoy:
Binary Join Trees.
492-499
Electronic Edition (link) BibTeX
- Sampath Srinivas, P. Pandurang Nayak:
Efficient enumeration of instantiations in Bayesian networks.
500-508
Electronic Edition (link) BibTeX
- Milan Studený:
On Separation Criterion and Recovery Algorithm for Chain Graphs.
509-516
Electronic Edition (link) BibTeX
- Choh-Man Teng:
Possible World Partition Sequences: A Unifying Framework for Uncertain Reasoning.
517-524
Electronic Edition (link) BibTeX
- Sylvie Thiébaux, Marie-Odile Cordier, Olivier Jehl, Jean-Paul Krivine:
Supply Restoration in Power Distribution Systems: A Case Study in Integrating Model-Based Diagnosis and Repair Planning.
525-532
Electronic Edition (link) BibTeX
- Robert L. Welch:
Real Time Estimation of Bayesian Networks.
533-544
Electronic Edition (link) BibTeX
- S. K. Michael Wong:
Testing Implication of Probabilistic Dependencies.
545-553
Electronic Edition (link) BibTeX
- Peter R. Wurman, Michael P. Wellman:
Optimal Factory Scheduling using Stochastic Dominance A*.
554-563
Electronic Edition (link) BibTeX
- Yang Xiang, S. K. Michael Wong, Nick Cercone:
Critical Remarks on Single Link Search in Learning Belief Networks.
564-571
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:44:09 2009
by Michael Ley (ley@uni-trier.de)
