Marek J. Druzdzel

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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
45EEDenver Dash, Marek J. Druzdzel: A note on the correctness of the causal ordering algorithm. Artif. Intell. 172(15): 1800-1808 (2008)
44 Changhe Yuan, Marek J. Druzdzel: Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI 2007: 1296-
43EEChanghe Yuan, Marek J. Druzdzel: Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian Conference on AI 2007: 332-343
42EEXiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI 2007: 2385-2390
41EEChanghe Yuan, Marek J. Druzdzel: Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reasoning 46(2): 320-333 (2007)
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
38EEXiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models 2006: 279-286
37EEChanghe Yuan, Marek J. Druzdzel: Hybrid Loopy Belief Propagation. Probabilistic Graphical Models 2006: 317-324
36EEAdam Zagorecki, Marek J. Druzdzel: Probabilistic Independence of Causal Influences. Probabilistic Graphical Models 2006: 325-332
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)
33 Adam Zagorecki, Marek J. Druzdzel: An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Conference 2004
32EEChanghe Yuan, Tsai-Ching Lu, Marek J. Druzdzel: Annealed MAP. UAI 2004: 628-635
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
29EEMarek J. Druzdzel, Francisco Javier Díez: Combining Knowledge from Different Sources in Causal Probabilistic Models. Journal of Machine Learning Research 4: 295-316 (2003)
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
27EETsai-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)
25EEAgnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel: Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292
24EEDenver Dash, Marek J. Druzdzel: Caveats for Causal Reasoning with Equilibrium Models. ECSQARU 2001: 192-203
23EETsai-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
21EEJian Cheng, Marek J. Druzdzel: Confidence Inference in Bayesian Networks. UAI 2001: 75-82
20EEAgnieszka 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)
18 Jian Cheng, Marek J. Druzdzel: Latin Hypercube Sampling in Bayesian Networks. FLAIRS Conference 2000: 287-292
17EETsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong: Causal Mechanism-based Model Constructions. UAI 2000: 353-362
16EEHaiqin Wang, Marek J. Druzdzel: User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI 2000: 617-625
15EEJian Cheng, Marek J. Druzdzel: Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. UAI 2000: 72-81
14EEMarek 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)
13EEJian 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)
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
11EEDenver 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)
9 Yan Lin, Marek J. Druzdzel: Relevance-Based Sequential Evidence Processing in Bayesian Networks. FLAIRS Conference 1998: 446-450
8EEYan 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)
6EEMarek J. Druzdzel, Linda C. van der Gaag: Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148
5EEMarek J. Druzdzel: Some Properties of joint Probability Distributions. UAI 1994: 187-194
4 Marek J. Druzdzel, Max Henrion: Efficient Reasoning in Qualitative Probabilistic Networks. AAAI 1993: 548-553
3EEMarek J. Druzdzel, Herbert A. Simon: Causality in Bayesian Belief Networks. UAI 1993: 3-11
2EEMarek J. Druzdzel, Max Henrion: Intercausal Reasoning with Uninstantiated Ancestor Nodes. UAI 1993: 317-325
1EEMax Henrion, Marek J. Druzdzel: Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. UAI 1990: 17-32

Coauthor Index

1Michael L. Anderson [34]
2Thomas Barkowsky [34]
3Pauline M. Berry (Pauline Berry) [34]
4Douglas S. Blank [34]
5Jian Cheng [13] [15] [18] [21]
6Timothy Chklovski [34]
7Denver Dash [11] [22] [24] [26] [31] [45]
8Francisco Javier Díez [29]
9Pedro Domingos [34]
10Christian Freksa [34]
11Linda C. van der Gaag [6] [14]
12John Gersh [34]
13Mary Hegarty [34]
14Max Henrion [1] [2] [4]
15Hans Van Leijen [19]
16Tze-Yun Leong [17] [34]
17Henry Lieberman [34]
18Yan Lin [8] [9] [10]
19Ric K. Lowe [34]
20Tsai-Ching Lu [17] [23] [27] [32]
21Peter J. F. Lucas [25]
22Susann Luperfoy [34]
23Lisa Meeden [34]
24Rada Mihalcea [34]
25David P. Miller [34]
26Tim Oates [34]
27Agnieszka Onisko [20] [25] [28]
28Robert Popp [34]
29Nathan Schurr [34]
30Daniel Shapiro [34]
31Herbert A. Simon [3]
32Push Singh [34]
33Xiaoxun Sun [38] [42]
34Mark Voortman [39] [46]
35Haiqin Wang [16] [22] [26]
36Hanna Wasyluk [20] [28]
37John Yen [34]
38Changhe Yuan [30] [32] [35] [37] [38] [41] [42] [43] [44]
39Adam Zagorecki [33] [36] [39] [40]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)