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Conference in Uncertainty in Artificial Intelligence

UAI

A

CORE rank

CORE rank (raw)

A

Fields of research

Artificial Intelligence

Papers indexed

3,802

1985–2025

Papers per year

1985243 peak2025

UAI papers

3,802 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
1996Toward a Market Model for Bayesian Inference.David M. Pennock, Michael P. Wellman
1996Identifying Independencies in Causal Graphs with Feedback.Judea Pearl, Rina Dechter
1996Probabilistic Disjunctive Logic Programming.Liem Ngo
1996Network Engineering for Complex Belief Networks.Suzanne M. Mahoney, Kathryn B. Laskey
1996Generalized Qualitative Probability: Savage revisited.Daniel Lehmann
1996Bayesian Learning of Loglinear Models for Neural Connectivity.Kathryn B. Laskey, Laura Martignon
1996Uncertain Inferences and Uncertain Conclusions.Henry E. Kyburg Jr.
1996Computational complexity reduction for BN2O networks using similarity of states.Alexander V. Kozlov, Jaswinder Pal Singh
1996MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat.Allan Leck Jensen, Finn Verner Jensen
1996Computing upper and lower bounds on likelihoods in intractable networks.Tommi S. Jaakkola, Michael I. Jordan
1996A Probabilistic Model for Sensor Validation.Pablo H. Ibargengoytia, Luis Enrique Sucar, Sunil Vadera
1996Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon.Kurt Huang, Max Henrion
1996Flexible Policy Construction by Information Refinement.Michael C. Horsch, David L. Poole
1996Why 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
1996Defining Relative Likelihood in Partially-Ordered Preferential Structures.Joseph Y. Halpern
1996Theoretical Foundations for Abstraction-Based Probabilistic Planning.Vu A. Ha, Peter Haddawy
1996Asymptotic Model Selection for Directed Networks with Hidden Variables.Dan Geiger, David Heckerman, Christopher Meek
1996On the Sample Complexity of Learning Bayesian Networks.Nir Friedman, Zohar Yakhini
1996A Qualitative Markov Assumption and Its Implications for Belief Change.Nir Friedman, Joseph Y. Halpern
1996Learning Bayesian Networks with Local Structure.Nir Friedman, Moiss Goldszmidt
1996An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits.Yousri El Fattah, Rina Dechter
1996Belief Revision with Uncertain Inputs in the Possibilistic Setting.Didier Dubois, Henri Prade
1996Sound Abstraction of Probabilistic Actions in The Constraint Mass Assignment Framework.AnHai Doan, Peter Haddawy
1996Topological parameters for time-space tradeoff.Rina Dechter
1996Bucket elimination: A unifying framework for probabilistic inference.Rina Dechter
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