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Marek J. Druzdzel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marek J. Druzdzel
    SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:902-903 [Conf]
  2. Marek J. Druzdzel, Max Henrion
    Efficient Reasoning in Qualitative Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:548-553 [Conf]
  3. Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel
    Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:283-292 [Conf]
  4. Adam Zagorecki, Marek J. Druzdzel
    Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:482-0 [Conf]
  5. Denver Dash, Marek J. Druzdzel
    Caveats for Causal Reasoning with Equilibrium Models. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:192-203 [Conf]
  6. Tsai-Ching Lu, Marek J. Druzdzel
    Supporting Changes in Structure in Causal Model Construction. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:204-215 [Conf]
  7. Jian Cheng, Marek J. Druzdzel
    Latin Hypercube Sampling in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2000, pp:287-292 [Conf]
  8. Yan Lin, Marek J. Druzdzel
    Relevance-Based Sequential Evidence Processing in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:446-450 [Conf]
  9. Haiqin Wang, Denver Dash, Marek J. Druzdzel
    A Method for Evaluating Elicitation Schemes for Probabilities. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:607-612 [Conf]
  10. Changhe Yuan, Marek J. Druzdzel
    How Heavy Should the Tails Be? [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:799-805 [Conf]
  11. Adam Zagorecki, Marek J. Druzdzel
    An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  12. Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
    Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:860-865 [Conf]
  13. Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
    An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2002, pp:351-360 [Conf]
  14. Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
    Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2385-2390 [Conf]
  15. Tsai-Ching Lu, Marek J. Druzdzel
    Causal Models, Value of Intervention, and Search for Opportunities. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  16. Jian Cheng, Marek J. Druzdzel
    Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:72-81 [Conf]
  17. Jian Cheng, Marek J. Druzdzel
    Confidence Inference in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:75-82 [Conf]
  18. Denver Dash, Marek J. Druzdzel
    Robust Independence Testing for Constraint-Based Learning of Causal Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:167-174 [Conf]
  19. Denver Dash, Marek J. Druzdzel
    A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:142-149 [Conf]
  20. Marek J. Druzdzel, Herbert A. Simon
    Causality in Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:3-11 [Conf]
  21. Marek J. Druzdzel
    Some Properties of joint Probability Distributions. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:187-194 [Conf]
  22. Marek J. Druzdzel, Linda C. van der Gaag
    Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:141-148 [Conf]
  23. Marek J. Druzdzel, Max Henrion
    Intercausal Reasoning with Uninstantiated Ancestor Nodes. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:317-325 [Conf]
  24. Max Henrion, Marek J. Druzdzel
    Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:17-32 [Conf]
  25. Yan Lin, Marek J. Druzdzel
    Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:342-350 [Conf]
  26. Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
    Causal Mechanism-based Model Constructions. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:353-362 [Conf]
  27. Haiqin Wang, Marek J. Druzdzel
    User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:617-625 [Conf]
  28. Changhe Yuan, Marek J. Druzdzel
    An Importance Sampling Algorithm Based on Evidence Pre-propagation. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:624-631 [Conf]
  29. Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann LuperFoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert Popp, Daniel Shapiro, Nathan Schurr, Push Singh, John Yen
    Reports on the 2005 AAAI Spring Symposium Series. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:2, pp:87-92 [Journal]
  30. Marek J. Druzdzel
    Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:30, n:3/4, pp:241-254 [Journal]
  31. Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
    Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:2, pp:165-182 [Journal]
  32. Yan Lin, Marek J. Druzdzel
    Relevance-Based Incremental Belief Updating in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:2, pp:285-295 [Journal]
  33. Jian Cheng, Marek J. Druzdzel
    AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2000, v:13, n:, pp:155-188 [Journal]
  34. Marek J. Druzdzel, Hans van Leijen
    Causal reversibility in Bayesian networks. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2001, v:13, n:1, pp:45-62 [Journal]
  35. Marek J. Druzdzel, Francisco Javier Díez
    Combining Knowledge from Different Sources in Causal Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:295-316 [Journal]
  36. Marek J. Druzdzel, Linda C. van der Gaag
    Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2000, v:12, n:4, pp:481-486 [Journal]
  37. Haiqin Wang, Denver Dash, Marek J. Druzdzel
    A method for evaluating elicitation schemes for probabilistic models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:1, pp:38-43 [Journal]
  38. Changhe Yuan, Marek J. Druzdzel
    Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1296-0 [Conf]
  39. Changhe Yuan, Marek J. Druzdzel
    Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:332-343 [Conf]
  40. Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
    Annealed MAP. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:628-635 [Conf]

  41. Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. [Citation Graph (, )][DBLP]


  42. Workshop summary: Seventh annual workshop on Bayes applications. [Citation Graph (, )][DBLP]


  43. Hybrid Loopy Belief Propagation. [Citation Graph (, )][DBLP]


  44. Probabilistic Independence of Causal Influences. [Citation Graph (, )][DBLP]


  45. Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. [Citation Graph (, )][DBLP]


  46. Rapid modeling and analysis with QGENIE. [Citation Graph (, )][DBLP]


  47. Passive construction of diagnostic decision models: An empirical evaluation. [Citation Graph (, )][DBLP]


  48. A note on the correctness of the causal ordering algorithm. [Citation Graph (, )][DBLP]


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