- Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic
- An Independence of Causal Interactions Model for Opposing Paul P. Maaskant1 & Marek J. Druzdzel2,3
- Decision Support Systems Marek J. Druzdzel and Roger R. Flynn
- Learning Why Things Change: The Difference-Based Causality Learner
- Intelligent Information Systems III Proceedings of the Workshop held in
- Annealed MAP Changhe Yuan
- Proceedings of the International Multiconference on Computer Science and Information Technology pp. 101108
- INFSCI 2130 / ISSP 2240 Decision Analysis and Decision Support
- Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks
- In Intelligent Information Systems, M. Klopotek, M. Michalewicz, S.T. Wierzchon (eds.), pp. 303-313, Advances in Soft Computing Series, Physica-Verlag (A Springer-Verlag Company), Heidelberg, 2000
- In Proceedings of the Second European Workshop onProbabilistic Graphical Models (PGM-04), pages 225-232, Leiden, The Netherlands, October 2004
- Intelligent Information Systems IV Proceedings of the Workshop held in
- In Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-99), pages 142-149, Morgan Kaufmann Publishers, Inc., San Francisco, CA, 1999
- Technical Report CMU-EPP-1990-03-02, Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, May 1989
- In Proceedings of the Second European Workshop onProbabilistic Graphical Models (PGM-04), pages 97-104, Leiden, The Netherlands, October 2004
- In Working Notes of the AAAI Spring Symposium on Search Techniques for Problem Solving Under Uncertainty and Incomplete Information, pages 77-82, Stanford University, Stanford, California, March 22-24, 1999
- In Proceedings of the Nineteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-03), pages 624-631, Morgan Kaufmann Publishers, Inc., San Francisco, CA, 2003
- JMLR Workshop and Conference Proceedings 6:257266 NIPS 2008 Workshop on Causality Learning Causal Models That Make Correct Manipulation
- Interactive construction of graphical decision models based on causal mechanisms Tsai-Ching Lu a,*, Marek J. Druzdzel a,b
- Theoretical analysis and practical insights on importance sampling in Bayesian networks
- UNCORRECTED MCM: 2749 + Model pp. 119 (col. fig: NIL)
- A surge of development of new public health surveillance systems designed
- Learning Bayesian network parameters from small data sets: application of
- In Medical Science Monitor, 7(Suppl. 1):327-332, May 2001 Page 1 of 10
- Journal of Artificial Intelligence Research 13 (2000) 155-188 Submitted 6/00; published 10/00 AIS-BN: An Adaptive Importance Sampling Algorithm for
- Building Probabilistic Networks: Where Do the Numbers Come From?
- In Fundamenta Informaticae, 30(3-4):241-254, 1997 Special issue on Knowledge Representation and Machine Learning
- In Technology Studies, 3(2):263-267, 1996 Decision Support Systems in Genetic Counseling
- Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
- Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
- In Proceedings of the Seventeenth International Florida Artificial IntelligenceResearch Society Conference (FLAIRS2004), Valerie Barr & Zdrawko Markov (eds), pages 880-885,
- In Proceedings of the Nineteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-03), pages 167-174, Morgan Kaufmann Publishers, Inc., San Francisco, CA, 2003
- Caveats For Causal Reasoning With Equilibrium Denver Dash and Marek Druzdzel
- Supporting Changes in Structure in Causal Model Construction
- Latin Hypercube Sampling in Bayesian Networks Jian Cheng & Marek J. Druzdzel
- In Proceedings of the 1999 Annual Symposium of the American Medical Informatics Association (AMIA-1999), page 1049, Washington, D.C., November 6-10, 1999
- The Role of Assumptions in Causal Marek J. Druzdzel
- Recent Advances in Intelligent Information Systems ISBN 978-83-60434-59-8, pages 443456
- 53Probability, Verbal Expressions of Marginal Probability of Discrete Variables
- Intelligent Information Systems 2008 ISBN 978-83-60434-44-4, pages 3544
- International Conference on Computer Systems and Technologies -CompSysTech'07 Implementing and Improving a Method
- An Efficient Exhaustive Anytime Sampling Algorithm for Influence Diagrams
- Newell A (1980) Reasoning, problem solving and decision processes: the problem space as a fundamental
- Effect of Imprecision in Probabilities on Bayesian Network Models: An Empirical Study
- Intelligent Information Systems VII Proceedings of the Workshop held in
- Interactive Construction of Decision Models Based on Causal MarekJ. Druzdzel & Tsai-Ching Lu
- In Working Notes of the AAAI 1998 Spring Symposium on Prospects for a Commonsense Theory of Causation, pages 24-30, Stanford University, Stanford, California, March 23-25, 1998
- In Working Notes of the AAAI 1997 Spring Symposium on Qualitative Preferences in Deliberation and Practical Reasoning, pages 35-40, Stanford, California, March 23-25, 1997
- In What Works In University Teaching: University of Pittsburgh Teaching Excellence Conference, Pittsburgh, Pennsylvania, March 31 -April 1, 1995
- Relevance in Probabilistic Models: "Backyards" in a "Small World"
- Application of the TETRADII Program to the Study of Student Retention in U.S. Colleges
- In Qualitative Reasoning and Decision Technologies, N. Piera Carrete & M.G. Singh (eds), pp. 451-460, CIMNE: Barcelona, 1993
- Intelligent Information Systems V Proceedings of the Workshop held in
- In Working Notes of the AAAI 1994 Fall Symposium Series: Relevance, page 100, New Orleans, Luisiana, November 4-6, 1994
- Probabilistic Reasoning in Decision Support Systems: From Computation to Common Sense
- INFSCI 2180 Knowledge Representation
- In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), pages 342-343, Orlando, Florida, July 18-22, 1999
- In Proceedings of the 1999 Annual Symposium of the American Medical Informatics Association (AMIA-1999), page 1206, Washington, D.C., November 6-10, 1999
- The Impact of Overconfidence Bias on Practical Accuracy of Bayesian Network Models: An Empirical Study
- Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks Xiaoxun Sun
- In Working Notes of the Workshop on `Bayesian and Causal Networks: From Inference to Data Mining,' 12th European Conference on Artificial Intelligence (ECAI-2000), Berlin, Germany, 22 August 2000
- Relevance-based Sequential Evidence Processing in Bayesian Networks Yan Lin & Marek J. Druzdzel
- www.software20.org26 Software 2.0 2/2005 Intelligence
- Research Report CBMI-99-27, Center for Biomedical Informatics, University of Pittsburgh, September 1999 Page 1 of 6
- In Working Notes of the Workshop on `Fusion of Domain Knowledge with Data for Decision Support,' Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-2000),
- In What Works In University Teaching: University of Pittsburgh Teaching Excellence Conference, Pittsburgh, Pennsylvania, March 31 -April 1, 1995
- Artificial Intelligence 172 (2008) 18001808 Contents lists available at ScienceDirect
- In Second Annual University of Pittsburgh Teaching Excellence Conference: Technology in Teaching, Pittsburgh, Pennsylvania, March 29, 1996
- Technical Report CMU-EPP-1990-03-03, Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, October 1989
- CARDIOTHORACIC ANESTHESIOLOGY: The Annals of Thoracic Surgery CME Program is located online at http://cme.ctsnetjournals.org.
- In Working Notes of the AAAI-99 Workshop on `Mixed-initiative Intelligence,' pages 99-106, Orlando, Florida, 18 July 1999
- In Challenges to Decision Support in a Changing World, Papers from the 2005 AAAI Spring Symposium, Marek J. Druzdzel and Tze-Yun Leong (eds.), Technical Report SS-05-02,
- Research Report CBMI-99-26, Center for Biomedical Informatics, University of Pittsburgh, September 1999 (a full version of the short paper published in AMIA-99)
- In Working notes of the AAAI-90 Workshop on Explanation, pages 133-141, Boston, MA, July 1990
- Proceedings of the International Multiconference on Computer Science and Information Technology pp. 515521
- Verbal Expressions of Probability in Informed Consent Litigation
- In Fifth International Seminar on Statistics and Clinical Practice (68-th Seminar of the International Centre of Biocybernetics), Warsaw, Poland, 3-5 June 2002
- 38 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 32, NO. 1, FEBRUARY 2002 [9] A. L. Madsen and F. V. Jensen, "Lazy evaluation of symmetric Bayesian
- In Proceedings of the Conference on Theoretical Informatics: Methods of Analysis of Incomplete and Distributed Information,pages 24-26, Bialystok, Poland, 26-28 November 1999
- Hybrid Loopy Belief Propagation Changhe Yuan
- A Methodfor Evaluating Elicitation Schemesfor Probabilities Haiqin Wangt, Denver Dash t & Marek J. Druzdzeltt
- In Artificial Intelligence and Simulation of Behaviour Quarterly, Special issue on Bayesian belief networks, 94:43-54, 1996
- Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks
- J. Ex p t . Th e o r . Ar t i f . In t e l l . 13(2001)45 62 Causal reversibility in Bayesian networks
- In Third International Seminar on Statistics and Clinical Practice (45th Seminar of the International Centre of Biocybernetics), Warsaw, Poland, June 24-27, 1998
- Intelligent Information Systems 9999 ISBN 666-666-666, pages 110
- ZESZYTY NAUKOWE POLITECHNIKI BIALOSTOCKIEJ 2008 Informatyka Zeszyt 3
- In Proceedings of the 11th Annual Conference on Artificial Intelligence (AAAI-93), pages 548-553, Washington, D.C., July 11-15, 1993
- GeNIeRate: An Interactive Generator of Diagnostic Bayesian Network Models Pieter C. Kraaijeveld
- In Proceeding of the First European Workshop on ProbabilisticGraphical Models (PGM-02), pages 108-116, Cuenca, Spain, 6-8 November 2002
- Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
- The Pittsburgh Cervical Cancer Screening Model A Risk Assessment Tool
- Difference-Based Causal Models: Bridging the gap between Granger causality and DCMs
- On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks
- Query-based Diagnostics John M. Agosta and Thomas R. Gardos
- In Proceedings of the Eleventh Conference on Biocybernetics and Biomedical Engineering, pages 842-846, Warsaw, Poland, December 2-4, 1999
- Journal of Machine Learning Research 4 (2003) 295316 Submitted 11/01; Published 7/03 Combining Knowledge from Different Sources
- Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality
- Probabilistic Independence of Causal Influences Adam Zagorecki
- How Heavy Should the Tails Be? Changhe Yuan and Marek J. Druzdzel
- Comp. by: WOMAT Stage : Revises2 ChapterID: 0000891534 Date:25/6/09 Time:13:16:50 Filepath:// spiina1003z/Womat/Production/PRODENV/0000000020/0000011876/0000000005/0000891534.3D
- INFSCI 2040 Research Design
- INFSCI 3005 Introduction to Doctoral Program