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Marek J. Druzdzel :
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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 ] Marek J. Druzdzel , Max Henrion Efficient Reasoning in Qualitative Probabilistic Networks. [Citation Graph (0, 0)][DBLP ] AAAI, 1993, pp:548-553 [Conf ] 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 ] 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 ] Denver Dash , Marek J. Druzdzel Caveats for Causal Reasoning with Equilibrium Models. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2001, pp:192-203 [Conf ] 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 ] Jian Cheng , Marek J. Druzdzel Latin Hypercube Sampling in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] FLAIRS Conference, 2000, pp:287-292 [Conf ] 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 ] 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 ] Changhe Yuan , Marek J. Druzdzel How Heavy Should the Tails Be? [Citation Graph (0, 0)][DBLP ] FLAIRS Conference, 2005, pp:799-805 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Jian Cheng , Marek J. Druzdzel Confidence Inference in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:75-82 [Conf ] 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 ] 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 ] Marek J. Druzdzel , Herbert A. Simon Causality in Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP ] UAI, 1993, pp:3-11 [Conf ] Marek J. Druzdzel Some Properties of joint Probability Distributions. [Citation Graph (0, 0)][DBLP ] UAI, 1994, pp:187-194 [Conf ] 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 ] Marek J. Druzdzel , Max Henrion Intercausal Reasoning with Uninstantiated Ancestor Nodes. [Citation Graph (0, 0)][DBLP ] UAI, 1993, pp:317-325 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Changhe Yuan , Tsai-Ching Lu , Marek J. Druzdzel Annealed MAP. [Citation Graph (0, 0)][DBLP ] UAI, 2004, pp:628-635 [Conf ] Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. [Citation Graph (, )][DBLP ] Workshop summary: Seventh annual workshop on Bayes applications. [Citation Graph (, )][DBLP ] Hybrid Loopy Belief Propagation. [Citation Graph (, )][DBLP ] Probabilistic Independence of Causal Influences. [Citation Graph (, )][DBLP ] Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. [Citation Graph (, )][DBLP ] Rapid modeling and analysis with QGENIE. [Citation Graph (, )][DBLP ] Passive construction of diagnostic decision models: An empirical evaluation. [Citation Graph (, )][DBLP ] A note on the correctness of the causal ordering algorithm. [Citation Graph (, )][DBLP ] Search in 0.003secs, Finished in 0.304secs