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Gregory F. Cooper: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gregory F. Cooper
    The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. [Citation Graph (4, 0)][DBLP]
    Artif. Intell., 1990, v:42, n:2-3, pp:393-405 [Journal]
  2. Gregory F. Cooper, Edward Herskovits
    A Bayesian Method for the Induction of Probabilistic Networks from Data. [Citation Graph (3, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:309-347 [Journal]
  3. Gregory F. Cooper
    A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships. [Citation Graph (1, 0)][DBLP]
    Data Min. Knowl. Discov., 1997, v:1, n:2, pp:203-224 [Journal]
  4. Gregory F. Cooper
    A Bayesian Method for Learning Belief Networks that Contain Hidden Variables. [Citation Graph (1, 0)][DBLP]
    J. Intell. Inf. Syst., 1995, v:4, n:1, pp:71-88 [Journal]
  5. Subramani Mani, Gregory F. Cooper
    Causal Discovery from Population-Based Infant Birth and Death Records. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:973- [Conf]
  6. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael Wagner
    Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:217-223 [Conf]
  7. Wei Wang, Gregory F. Cooper
    An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:645-646 [Conf]
  8. Denver Dash, Gregory F. Cooper
    Exact model averaging with naive Bayesian classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:91-98 [Conf]
  9. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael Wagner
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:808-815 [Conf]
  10. Eric Horvitz, Gregory F. Cooper, David Heckerman
    Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:1121-1127 [Conf]
  11. Stefano Monti, Gregory F. Cooper
    Learning Bayesian Belief Networks with Neural Network Estimators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:578-584 [Conf]
  12. Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper
    A Bayesian Spatial Scan Statistic. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  13. Shyam Visweswaran, Gregory F. Cooper
    Instance-Specific Bayesian Model Averaging for Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  14. Changwon Yoo, Vesteinn Thorsson, Gregory F. Cooper
    Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2002, pp:498-509 [Conf]
  15. Constantin F. Aliferis, Gregory F. Cooper
    An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:8-14 [Conf]
  16. Constantin F. Aliferis, Gregory F. Cooper
    A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:28-39 [Conf]
  17. R. Martin Chavez, Gregory F. Cooper
    KNET: integrating hypermedia and normative bayesian modeling. [Citation Graph (0, 0)][DBLP]
    UAI, 1988, pp:339-350 [Conf]
  18. R. Martin Chavez, Gregory F. Cooper
    An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 1989, pp:191-208 [Conf]
  19. Homer L. Chin, Gregory F. Cooper
    Bayesian Belief Network Inference Using Simulation. [Citation Graph (0, 0)][DBLP]
    UAI, 1987, pp:129-148 [Conf]
  20. Gregory F. Cooper
    A Bayesian Method for Causal Modeling and Discovery Under Selection. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:98-106 [Conf]
  21. Gregory F. Cooper
    An Algorithm for Computing Probabilistic Propositions. [Citation Graph (0, 0)][DBLP]
    UAI, 1987, pp:3-14 [Conf]
  22. Gregory F. Cooper, Edward Herskovits
    A Bayesian Method for Constructing Bayesian Belief Networks from Databases. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:86-94 [Conf]
  23. Gregory F. Cooper, Changwon Yoo
    Causal Discovery from a Mixture of Experimental and Observational Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:116-125 [Conf]
  24. Mehmet Kayaalp, Gregory F. Cooper
    A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:251-258 [Conf]
  25. Edward Herskovits, Gregory F. Cooper
    an entropy-driven system for construction of probabilistic expert systems from databases. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:117-128 [Conf]
  26. Stefano Monti, Gregory F. Cooper
    A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:447-456 [Conf]
  27. Stefano Monti, Gregory F. Cooper
    A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:404-413 [Conf]
  28. Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman
    A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:245-254 [Conf]
  29. Henri Jacques Suermondt, Gregory F. Cooper
    Initialization for the Method of Conditioning in Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1991, v:50, n:1, pp:83-94 [Journal]
  30. Gil Citro, Gordon Banks, Gregory F. Cooper
    INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:10, n:3, pp:257-267 [Journal]
  31. Gregory F. Cooper
    Probabilistic and decision-theoretic systems in medicine. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1993, v:5, n:4, pp:289-292 [Journal]
  32. Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes
    An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
  33. Changwon Yoo, Gregory F. Cooper
    An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:169-182 [Journal]
  34. Smadar Shiffman, Alice W. Wu, Alex D. Poon, Christopher D. Lane, Blackford Middleton, Randolph A. Miller, Fred E. Masarie Jr., Gregory F. Cooper, Edward H. Shortliffe, Lawrence M. Fagan
    Building a Speech Interface to a Medical Diagnostic System. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1991, v:6, n:1, pp:41-50 [Journal]
  35. Homer L. Chin, Gregory F. Cooper
    Stochastic simulation of Bayesian belief networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1988, v:2, n:3, pp:331- [Journal]
  36. Gregory F. Cooper
    An algorithm for computing probabilistic propositions. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1988, v:2, n:3, pp:333- [Journal]
  37. Stefano Monti, Gregory F. Cooper
    Bounded recursive decomposition: a search-based method for belief-network inference under limited resources. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1996, v:15, n:1, pp:49-75 [Journal]
  38. Henri Jacques Suermondt, Gregory F. Cooper
    Probabilistic inference in multiply connected belief networks using loop cutsets. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1990, v:4, n:4, pp:283-306 [Journal]
  39. Henri Jacques Suermondt, Gregory F. Cooper
    A combination of exact algorithms for inference on Bayesian belief networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1991, v:5, n:6, pp:521-542 [Journal]
  40. Wendy Webber Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan
    A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2001, v:34, n:5, pp:301-310 [Journal]
  41. Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell
    Predicting dire outcomes of patients with community acquired pneumonia. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:347-366 [Journal]
  42. Changwon Yoo, Gregory F. Cooper, Martin Schmidt
    A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2006, v:39, n:2, pp:126-146 [Journal]
  43. Denver Dash, Gregory F. Cooper
    Model Averaging for Prediction with Discrete Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1177-1203 [Journal]
  44. Weng-Keen Wong, Andrew Moore, Gregory F. Cooper, Michael Wagner
    What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1961-1998 [Journal]
  45. Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael Wagner
    Bayesian Biosurveillance of Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:94-103 [Conf]
  46. Subramani Mani, Gregory F. Cooper, Peter Spirtes
    A Theoretical Study of Y Structures for Causal Discovery. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  47. Yanna Shen, Gregory F. Cooper
    A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases. [Citation Graph (0, 0)][DBLP]
    BioSurveillance, 2007, pp:209-215 [Conf]

  48. Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. [Citation Graph (, )][DBLP]


  49. Bayesian rule learning for biomedical data mining. [Citation Graph (, )][DBLP]


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