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* | 2009 | |
---|---|---|

48 | EE | John Mark Agosta, Russell Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij: Workshop summary: Seventh annual workshop on Bayes applications. ICML 2009: 163 |

47 | EE | Tsai-Ching Lu, Marek J. Druzdzel: Interactive construction of graphical decision models based on causal mechanisms. European Journal of Operational Research 199(3): 873-882 (2009) |

2008 | ||

46 | Mark Voortman, Marek J. Druzdzel: Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. FLAIRS Conference 2008: 690-695 | |

45 | EE | Denver Dash, Marek J. Druzdzel: A note on the correctness of the causal ordering algorithm. Artif. Intell. 172(15): 1800-1808 (2008) |

2007 | ||

44 | Changhe Yuan, Marek J. Druzdzel: Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI 2007: 1296- | |

43 | EE | Changhe Yuan, Marek J. Druzdzel: Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian Conference on AI 2007: 332-343 |

42 | EE | Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI 2007: 2385-2390 |

41 | EE | Changhe Yuan, Marek J. Druzdzel: Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reasoning 46(2): 320-333 (2007) |

2006 | ||

40 | Adam Zagorecki, Marek J. Druzdzel: Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI 2006: 482- | |

39 | Adam Zagorecki, Mark Voortman, Marek J. Druzdzel: Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS Conference 2006: 860-865 | |

38 | EE | Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models 2006: 279-286 |

37 | EE | Changhe Yuan, Marek J. Druzdzel: Hybrid Loopy Belief Propagation. Probabilistic Graphical Models 2006: 317-324 |

36 | EE | Adam Zagorecki, Marek J. Druzdzel: Probabilistic Independence of Causal Influences. Probabilistic Graphical Models 2006: 325-332 |

2005 | ||

35 | Changhe Yuan, Marek J. Druzdzel: How Heavy Should the Tails Be? FLAIRS Conference 2005: 799-805 | |

34 | 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. AI Magazine 26(2): 87-92 (2005) | |

2004 | ||

33 | Adam Zagorecki, Marek J. Druzdzel: An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Conference 2004 | |

32 | EE | Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel: Annealed MAP. UAI 2004: 628-635 |

2003 | ||

31 | Denver Dash, Marek J. Druzdzel: Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI 2003: 167-174 | |

30 | Changhe Yuan, Marek J. Druzdzel: An Importance Sampling Algorithm Based on Evidence Pre-propagation. UAI 2003: 624-631 | |

29 | EE | Marek J. Druzdzel, Francisco Javier Díez: Combining Knowledge from Different Sources in Causal Probabilistic Models. Journal of Machine Learning Research 4: 295-316 (2003) |

2002 | ||

28 | Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk: An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks. Intelligent Information Systems 2002: 351-360 | |

27 | EE | Tsai-Ching Lu, Marek J. Druzdzel: Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models 2002 |

26 | Haiqin Wang, Denver Dash, Marek J. Druzdzel: A method for evaluating elicitation schemes for probabilistic models. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 38-43 (2002) | |

2001 | ||

25 | EE | Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel: Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292 |

24 | EE | Denver Dash, Marek J. Druzdzel: Caveats for Causal Reasoning with Equilibrium Models. ECSQARU 2001: 192-203 |

23 | EE | Tsai-Ching Lu, Marek J. Druzdzel: Supporting Changes in Structure in Causal Model Construction. ECSQARU 2001: 204-215 |

22 | Haiqin Wang, Denver Dash, Marek J. Druzdzel: A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS Conference 2001: 607-612 | |

21 | EE | Jian Cheng, Marek J. Druzdzel: Confidence Inference in Bayesian Networks. UAI 2001: 75-82 |

20 | EE | Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk: Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. Int. J. Approx. Reasoning 27(2): 165-182 (2001) |

19 | Marek J. Druzdzel, Hans Van Leijen: Causal reversibility in Bayesian networks. J. Exp. Theor. Artif. Intell. 13(1): 45-62 (2001) | |

2000 | ||

18 | Jian Cheng, Marek J. Druzdzel: Latin Hypercube Sampling in Bayesian Networks. FLAIRS Conference 2000: 287-292 | |

17 | EE | Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong: Causal Mechanism-based Model Constructions. UAI 2000: 353-362 |

16 | EE | Haiqin Wang, Marek J. Druzdzel: User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI 2000: 617-625 |

15 | EE | Jian Cheng, Marek J. Druzdzel: Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. UAI 2000: 72-81 |

14 | EE | Marek J. Druzdzel, Linda C. van der Gaag: Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. 12(4): 481-486 (2000) |

13 | EE | Jian Cheng, Marek J. Druzdzel: AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. J. Artif. Intell. Res. (JAIR) 13: 155-188 (2000) |

1999 | ||

12 | Marek J. Druzdzel: SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models. AAAI/IAAI 1999: 902-903 | |

11 | EE | Denver Dash, Marek J. Druzdzel: A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI 1999: 142-149 |

10 | Yan Lin, Marek J. Druzdzel: Relevance-Based Incremental Belief Updating in Bayesian Networks. IJPRAI 13(2): 285-295 (1999) | |

1998 | ||

9 | Yan Lin, Marek J. Druzdzel: Relevance-Based Sequential Evidence Processing in Bayesian Networks. FLAIRS Conference 1998: 446-450 | |

1997 | ||

8 | EE | Yan Lin, Marek J. Druzdzel: Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. UAI 1997: 342-350 |

7 | Marek J. Druzdzel: Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems. Fundam. Inform. 30(3/4): 241-254 (1997) | |

1995 | ||

6 | EE | Marek J. Druzdzel, Linda C. van der Gaag: Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148 |

1994 | ||

5 | EE | Marek J. Druzdzel: Some Properties of joint Probability Distributions. UAI 1994: 187-194 |

1993 | ||

4 | Marek J. Druzdzel, Max Henrion: Efficient Reasoning in Qualitative Probabilistic Networks. AAAI 1993: 548-553 | |

3 | EE | Marek J. Druzdzel, Herbert A. Simon: Causality in Bayesian Belief Networks. UAI 1993: 3-11 |

2 | EE | Marek J. Druzdzel, Max Henrion: Intercausal Reasoning with Uninstantiated Ancestor Nodes. UAI 1993: 317-325 |

1990 | ||

1 | EE | Max Henrion, Marek J. Druzdzel: Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. UAI 1990: 17-32 |