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Learning Latent Causal Structures with a Redundant Input Neural Network


Mar 29, 2020
Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu


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Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration


Dec 22, 2017
Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper


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Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models


Nov 16, 2015
Mahdi Pakdaman Naeini, Gregory F. Cooper


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Counting Markov Blanket Structures


Jul 12, 2014
Shyam Visweswaran, Gregory F. Cooper

* 5 pages, 2 figures, 1 table 

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Binary Classifier Calibration: Non-parametric approach


Jan 14, 2014
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht


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Binary Classifier Calibration: Bayesian Non-Parametric Approach


Jan 13, 2014
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht


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An Algorithm for Computing Probabilistic Propositions


Mar 27, 2013
Gregory F. Cooper

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Stochastic Simulation of Bayesian Belief Networks


Mar 27, 2013
Homer L. Chin, Gregory F. Cooper

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Updating Probabilities in Multiply-Connected Belief Networks


Mar 27, 2013
Jaap Suermondt, Gregory F. Cooper

* Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988) 

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A Method for Using Belief Networks as Influence Diagrams


Mar 27, 2013
Gregory F. Cooper

* Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988) 

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KNET: Integrating Hypermedia and Bayesian Modeling


Mar 27, 2013
R. Martin Chavez, Gregory F. Cooper

* Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988) 

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Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources


Mar 27, 2013
Eric J. Horvitz, Jaap Suermondt, Gregory F. Cooper

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference


Mar 27, 2013
R. Martin Chavez, Gregory F. Cooper

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network


Mar 27, 2013
Michael Shwe, Gregory F. Cooper

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System


Mar 27, 2013
Jaap Suermondt, Gregory F. Cooper, David Heckerman

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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A Randomized Approximation Algorithm of Logic Sampling


Mar 27, 2013
R. Martin Chavez, Gregory F. Cooper

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases


Mar 27, 2013
Edward H. Herskovits, Gregory F. Cooper

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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A Bayesian Method for Constructing Bayesian Belief Networks from Databases


Mar 20, 2013
Gregory F. Cooper, Edward H. Herskovits

* Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991) 

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An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin


Feb 27, 2013
Constantin F. Aliferis, Gregory F. Cooper

* Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994) 

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A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques


Feb 13, 2013
Constantin F. Aliferis, Gregory F. Cooper

* Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996) 

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A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data


Jan 30, 2013
Stefano Monti, Gregory F. Cooper

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model


Jan 23, 2013
Stefano Monti, Gregory F. Cooper

* Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999) 

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Causal Discovery from a Mixture of Experimental and Observational Data


Jan 23, 2013
Gregory F. Cooper, Changwon Yoo

* Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999) 

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A Bayesian Method for Causal Modeling and Discovery Under Selection


Jan 16, 2013
Gregory F. Cooper

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors


Dec 12, 2012
Mehmet Kayaalp, Gregory F. Cooper

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Bayesian Biosurveillance of Disease Outbreaks


Jul 11, 2012
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William Hogan, Michael Wagner

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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A theoretical study of Y structures for causal discovery


Jun 27, 2012
Subramani Mani, Peter L. Spirtes, Gregory F. Cooper

* Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006) 

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